WEBVTT

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<v Speaker 1>Oh hey, it's your shoe repair guy who just is

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<v Speaker 1>curious when you're going to have children, and you're like,

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<v Speaker 1>can I just have my shoes? Ali Ward back with

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<v Speaker 1>just a teeny tiny tanny Ology with a very big guest.

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<v Speaker 1>It is molecular and it's galactic all at once. Let's

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<v Speaker 1>get right into it. But first, thank you to everyone

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<v Speaker 1>supporting the show on Patreon. At patreon dot com slash Ologies,

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<v Speaker 1>it costs about twenty five cents an episode to join

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<v Speaker 1>and submit questions to Theologist, so you can meet me

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<v Speaker 1>over there if you want to do that. Thank you

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<v Speaker 1>for hitting subscribe and rating the show, which takes literally

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<v Speaker 1>two seconds and costs you no dollars. And also for

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<v Speaker 1>leaving reviews, which maybe takes sixty seconds if you don't proofread,

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<v Speaker 1>which I don't even mind, and I read and appreciate everyone,

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<v Speaker 1>such as this one left this week by Philo Sophia,

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<v Speaker 1>who says I'm writing this review well, curled up with

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<v Speaker 1>my dog under my Ologies blanket. Waiting for my virtual

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<v Speaker 1>physics class to start online school for my senior year

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<v Speaker 1>of high school has been tough, but Ology, says continually

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<v Speaker 1>reminded me of the world's many wonders and curiosities. Thank you,

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<v Speaker 1>Philo Sophia. Thank you also in exchange, please teach me

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<v Speaker 1>how to use TikTok okay. Molecular biology So molecule comes

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<v Speaker 1>from the Latin for mass or moles or extremely minute particle,

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<v Speaker 1>and biology, of course, is the study of life. So

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<v Speaker 1>molecular biology is the study of the little, itty, bitty,

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<v Speaker 1>squiggly intricate structures that keep us alive and breathing and

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<v Speaker 1>finding off illnesses and falling in love and digesting a pisa.

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<v Speaker 1>So molecular biology is how molecules interact with each other

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<v Speaker 1>to form life processes, and how proteins do a lot

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<v Speaker 1>of our dirty work. But this episode is really exciting

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<v Speaker 1>because we're also learning quite a bit about how to

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<v Speaker 1>communicate science from someone who has done a TEDx talk

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<v Speaker 1>and been recognized by Fortunes forty under forty and also

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<v Speaker 1>MEGANI Stallion. More on that in a moment. This ologist, though,

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<v Speaker 1>got her bachelor's and master's degrees in biology from Buffalo

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<v Speaker 1>State University in New York it is very cold there,

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<v Speaker 1>and has been an assistant professor of biology and a

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<v Speaker 1>STEM college coordinator for high school students. Has worked in

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<v Speaker 1>a private lab researching cancer cures and is just a

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<v Speaker 1>few tidy months away from getting her PhD in Communicating science,

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<v Speaker 1>so she is busy now. I have been a fan

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<v Speaker 1>of hers for quite a while since seeing her early

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<v Speaker 1>pandemic video Wipe it down, and we have gotten a

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<v Speaker 1>chance to zoom a few times and hang out talking

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<v Speaker 1>about TV projects she's working to launch. And I have

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<v Speaker 1>retweeted her so many times that people assumed she had

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<v Speaker 1>already been a guest on Ologies, but she hadn't. So

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<v Speaker 1>we hopped on a call to make it official and

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<v Speaker 1>talk about what a molecular biologist does, the grossest parts

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<v Speaker 1>of her lab, work space, camp, how different brains absorb information,

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<v Speaker 1>her PhD plans, protein folding, DNA strands, and more with

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<v Speaker 1>science communicator and molecular biologist almost doctor Raven the science

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<v Speaker 1>even Baxter.

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<v Speaker 2>My name is Raven Baxter and my pronouns are she her.

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<v Speaker 1>You're not the only Raven Baxter that people may have

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<v Speaker 1>heard of. Should you get that a lot?

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<v Speaker 2>I get this a lot for the past. I think

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<v Speaker 2>it's been not seventeen years, it's or maybe has been

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<v Speaker 2>seventeen years.

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<v Speaker 1>Such a good name, you know, I.

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<v Speaker 2>Loved having it until the Disney Channel came in and

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<v Speaker 2>just decided they were going to do do their own thing.

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<v Speaker 1>I think a lot of people think of you as

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<v Speaker 1>Raven the Science Mayven. Like a lot of times, I

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<v Speaker 1>don't even think about you having a last name. I

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<v Speaker 1>just think of you as Raven the Science may Be.

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<v Speaker 2>That's good to know because I feel like I sometimes

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<v Speaker 2>google myself as a metric, like I google Raven Baxter

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<v Speaker 2>to see how many that's so Raven pages come up,

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<v Speaker 2>and that's been my metric for how well I've been doing.

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<v Speaker 1>Yeah, that's got to really screw up here Google alerts probably.

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<v Speaker 2>A little bit, a little bit.

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<v Speaker 1>When did you come up with the Raven the Science

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<v Speaker 1>Maben name?

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<v Speaker 2>So I remember this specifically happened in a car and

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<v Speaker 2>it was there was just this day where I decided

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<v Speaker 2>I was a YouTuber and I was documenting my hair journey.

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<v Speaker 2>A lot of people don't realize that I didn't start

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<v Speaker 2>growing my platform under Science. I was growing under like

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<v Speaker 2>hair and Beauty, and I had a pretty large following

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<v Speaker 2>and people really enjoyed me. But I personally felt like

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<v Speaker 2>I had more to contribute to the space than just

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<v Speaker 2>talking about hair. So that like, well, if I'm not

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<v Speaker 2>gonna you know, I was branded under really Raven at

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<v Speaker 2>the time, and I said, well, I want to do

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<v Speaker 2>something that science related. I just came up with Mayven.

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<v Speaker 2>My aunt calls me Raven Maven, and then I'm like, well,

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<v Speaker 2>what about Raven the science maven? Right, Like, Maven's an

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<v Speaker 2>expert in something. And at that time, I had, you know,

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<v Speaker 2>just gotten a master's in biology. So I'm like, oh,

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<v Speaker 2>I'm an actual Maven of science, you know. So that's

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<v Speaker 2>that's how it happened.

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<v Speaker 1>Done and done. Do you feel like you kind of

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<v Speaker 1>learned a lot of the ropes in terms of how

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<v Speaker 1>you wanted to communicate doing your hair channel and your

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<v Speaker 1>beauty channel.

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<v Speaker 2>Yeah. I think it was really good practice for me

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<v Speaker 2>because I guess when I started YouTube, there was a

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<v Speaker 2>really set way for doing a video and there were

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<v Speaker 2>just a set of norms that you kind of had

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<v Speaker 2>to abide by when you're making content. And then for

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<v Speaker 2>the type of community I was making content for the

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<v Speaker 2>hair community, it's it's called sister locks and Sista loss.

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<v Speaker 2>Community can be can be a little disapproving when you

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<v Speaker 2>stray from traditional like hair care methods, etc. Like I

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<v Speaker 2>was doing a lot of things that people didn't do

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<v Speaker 2>that was kind of like forbidden. For example, when that

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<v Speaker 2>hair paint wax. I don't know if you got into

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<v Speaker 2>this trend, but those colored waxes that you could put

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<v Speaker 2>in your hair instead of dyeing your hair, like it

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<v Speaker 2>was a temporary way of adding color. I would put

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<v Speaker 2>that in my locks and people would be like, no,

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<v Speaker 2>you're not supposed to do that. No, it's gonna get

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<v Speaker 2>stuck in your hair, and this and that and which

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<v Speaker 2>is true. But I wanted to try it right, Like

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<v Speaker 2>I wanted to have fun experimenting with my hair, and

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<v Speaker 2>that meant doing a lot of things that people were like,

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<v Speaker 2>oh my god, why is she doing that? Like that's

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<v Speaker 2>not how you're supposed to do it, But I did

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<v Speaker 2>it anyways, and I did it in a way where

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<v Speaker 2>I was just unapologetically like, hey, I just want to

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<v Speaker 2>try new things and learning how to how to create

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<v Speaker 2>content without being afraid of what people think, or kind

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<v Speaker 2>of just being true to yourself without worrying about who

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<v Speaker 2>cares or who doesn't want to see you have fun

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<v Speaker 2>with X, Y and Z has really been a good

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<v Speaker 2>lesson for me. As I've talked about science and it

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<v Speaker 2>was a good primer for me to understand that understand

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<v Speaker 2>how to come into this science communications space without worrying

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<v Speaker 2>about how I'm presenting the material. You know, if everybody's

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<v Speaker 2>gonna like it, or is everybody gonna approve of me

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<v Speaker 2>doing X, Y and Z and just having fun with it.

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<v Speaker 2>It was really good practice for that.

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<v Speaker 1>Okay for a quick discography of music videos that have

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<v Speaker 1>gotten the world's attention, One of Raven's first was titled

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<v Speaker 1>Big Old Geeks, featuring her dancing around a sports car

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<v Speaker 1>in these tall, shimmery boots. Wearing a lab coat. She

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<v Speaker 1>was joined by other female scientists.

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<v Speaker 2>Big Geek in his house and me running through the space.

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<v Speaker 2>I know, regular degula, man, I'm really malecula. I gotta

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<v Speaker 2>see the big picture. I'm a significant figure. Get more degrees,

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<v Speaker 2>I get bigger. J'all ten percent but on.

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<v Speaker 1>And then of course there was the early pandemic disinfectant

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<v Speaker 1>tutorial Wipe It Down, which was a homage to Fox's

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<v Speaker 1>wipe me Down.

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<v Speaker 2>Let's all wipe it down, Blowox, wipe it down. Leicea

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<v Speaker 2>wipe it down, Blowox, wipe it down. What's the body,

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<v Speaker 2>what's the hand, and what's the hand too, the soaps

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<v Speaker 2>from it down and show me how you do it.

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<v Speaker 1>YouTube comments seeing her praises saying this song is catchy

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<v Speaker 1>as hell, no pun intended. And I'm a sixty five

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<v Speaker 1>year old man and you have me bopping to this

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<v Speaker 1>jam when I'm washing my hands at home now. Her

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<v Speaker 1>most recent video offered up info on vaccine technology and

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<v Speaker 1>antibodies the category of biology.

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<v Speaker 2>Listen on immunology, little microbiology. This is the terminology. I

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<v Speaker 2>got the vaccine and now you got me on the

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<v Speaker 2>right night? Be so noted, hay us want to see him?

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<v Speaker 1>So is night was? It retweeted by Megan thee Stallion.

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<v Speaker 1>It was children dreams can come true. And you've been

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<v Speaker 1>doing experiments since you were a kid, right, You've been

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<v Speaker 1>mixing things around the house. And have you always been

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<v Speaker 1>kind of science minded?

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<v Speaker 2>Absolutely? I definitely, I've always loved science. I was an

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<v Speaker 2>only child and raised in a single parent household, and

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<v Speaker 2>my mom worked really hard, and a lot of times

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<v Speaker 2>it was kind of up to me to entertain myself,

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<v Speaker 2>and quite often I would find that I'd just get

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<v Speaker 2>drawn to the natural environment and looking at the clouds

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<v Speaker 2>or digging in the dirt. Things that kids, do you know?

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<v Speaker 2>But I was very I feel like I engaged in

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<v Speaker 2>scientific inquiry from a very young age.

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<v Speaker 1>So meteorology and clouds to grass stains to a lab coat?

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<v Speaker 1>How did this journey happen? So Raven dipped into Space Camp,

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<v Speaker 1>which until adulthood, I thought Space Camp was a fictitious place.

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<v Speaker 1>I thought it was like the Wonka Factory. I had

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<v Speaker 1>no idea it really existed. But since nineteen eighty two,

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<v Speaker 1>nine hundred thousand campers have gone through their program, and

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<v Speaker 1>among them a bunch of real life astronauts and also Raven.

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<v Speaker 1>I didn't even realize Space Camp was real for a

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<v Speaker 1>long time when I was a kid, Like what was that?

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<v Speaker 3>Like?

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<v Speaker 1>How did you pair down what direction and science you

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<v Speaker 1>wanted to go toward?

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<v Speaker 2>That's funny because it largely happened at space Camp. I

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<v Speaker 2>was pretty set on being an astronaut until I went

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<v Speaker 2>to Space Camp and found out I was afraid of

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<v Speaker 2>heights down because at Space Camp they really do give

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<v Speaker 2>you junior astronaut training. So they put us in a

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<v Speaker 2>high altitude flight simulator, and I immediately realized that I

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<v Speaker 2>really don't like flying, and I really don't want to

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<v Speaker 2>be in a spacecraft. So I really had no choice

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<v Speaker 2>but to focus back down to Earth literally and pursue

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<v Speaker 2>like sciences that are earth based. When I went to college,

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<v Speaker 2>I tried different majors out and I started an environmental

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<v Speaker 2>law and policy and then later as our transition and

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<v Speaker 2>in my academic journey, found genetics and was so thrilled

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<v Speaker 2>to learn that our bodies are so cool that they

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<v Speaker 2>speak their own language, which is the genetic code. And

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<v Speaker 2>I'm sitting in this class like, oh my gosh, you know,

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<v Speaker 2>none of my friends are in this class. They have

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<v Speaker 2>to learn about this. This is so cool. Our bodies

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<v Speaker 2>are speaking a language, and like we're the only ones

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<v Speaker 2>that are taking a class on it, right, So like,

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<v Speaker 2>not only did I think it was super cool, but

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<v Speaker 2>I wanted to share that with everyone that I knew.

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<v Speaker 2>But I just went down that rabbit hole genetics and

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<v Speaker 2>molecular biology, and I never came out. So the language

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<v Speaker 2>is our DNA, the genetic code, and it is a

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<v Speaker 2>sequence of nucleotides that contain instructions for proteins. Yes, and

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<v Speaker 2>those proteins are doing the work inside of ourselves to

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<v Speaker 2>generate our life processes. So the way that I like

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<v Speaker 2>to see It is just a scaled bound version of

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<v Speaker 2>how cities work. Where you have the mayor, you know,

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<v Speaker 2>and he's at city hall and that's that's often like

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<v Speaker 2>the central point of a city. And the mayor has

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<v Speaker 2>like his staff that he talks to, and you know,

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<v Speaker 2>he tells so and so to do this, and then

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<v Speaker 2>they go do that. So it tells another person to

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<v Speaker 2>do another thing, and they go do that job. And

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<v Speaker 2>everything that happens out from city hall affects the entire city.

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<v Speaker 2>And that's how I think about moleculary biology. It's a

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<v Speaker 2>super simplified version of it. And where your DNA is

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<v Speaker 2>the mayor and the mayor's staff is are like proteins

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<v Speaker 2>that are carrying out different functions.

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<v Speaker 1>Oh, that's amazing. They look, from what I've seen, kind

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<v Speaker 1>of like gift wrap. Right, Are there a lot of

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<v Speaker 1>spirals happening? What are these proteins shaped like?

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<v Speaker 2>Ah, that's hilarious. So proteins, proteins are really interesting. They

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<v Speaker 2>have different shapes and sizes. They fold into these different

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<v Speaker 2>shapes that determine their functions. But they don't start folded.

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<v Speaker 1>Okay, let's back up a little.

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<v Speaker 2>We can just start from the beginning, right, we have

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<v Speaker 2>our DNA, which is inside of our nucleus, and it's

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<v Speaker 2>very neatly packed and packaged in the nucleus, and it

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<v Speaker 2>gets read by other proteins right inside of your nucleus

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<v Speaker 2>into a different code called RNA, which is almost the

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<v Speaker 2>same as DNA, but it uses a slightly different code.

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<v Speaker 2>And then the RNA is read by proteins called polymerases,

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<v Speaker 2>and the polymerases then translate the information from your RNA

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<v Speaker 2>to create a protein. As the protein's being made, it's

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<v Speaker 2>basically like a spaghetti noodle as it comes out of

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<v Speaker 2>this polimerase, and then as it's coming out, it folds

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<v Speaker 2>into these different shapes. But the two basic shapes are

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<v Speaker 2>beta sheets, which kind of look like a brick of

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<v Speaker 2>ramen noodles, or alpha helises, which are those curly pieces

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<v Speaker 2>that look like I don't know, RIGATONI actually don't know.

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<v Speaker 2>Is RIGATONI even the curly one?

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<v Speaker 1>I think so, I think so, I think RIGATONI is.

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<v Speaker 1>I should know. Don't call the warm Italian in the world.

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<v Speaker 2>Oh no, it's few silly, few silly.

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<v Speaker 1>Okay, you're right, you're totally right.

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<v Speaker 2>No, few silly pasta.

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<v Speaker 1>I think it's better to know more about molecular biology

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<v Speaker 1>than pasta. But that's just because I was raised on

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<v Speaker 1>so much marinera sauce that like, I don't even I

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<v Speaker 1>can't even like look at pasta we eat so much

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<v Speaker 1>as a kid, I can relate, yes, just like, oh okay.

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<v Speaker 1>So then there in those two different beta or alpha

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<v Speaker 1>helix shapes, and then what do they do from there?

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<v Speaker 2>From there, all of these shapes and structures are determined

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<v Speaker 2>by the protein's amino acid composition, and so depending on

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<v Speaker 2>the composition of the protein itself, it'll fold and shape

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<v Speaker 2>into different levels of protein folding. So there's primary structure,

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<v Speaker 2>secondary structure, tertiary structure, and quaternary structure.

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<v Speaker 1>And those different proteins, the complicated ones or the simpler ones,

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<v Speaker 1>are they bouncing around in our bloodstream to send messages

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<v Speaker 1>or are they packaged to form different organelles and different

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<v Speaker 1>organs like what happens to those curly folded, very specific proteins.

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<v Speaker 2>I mean, they do so many different things. Where do

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<v Speaker 2>we even start. They get packaged in the gold gie

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<v Speaker 2>apparatus and shipped out to different parts of the cells.

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<v Speaker 2>One place where they can go is they can get

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<v Speaker 2>packaged out in a vesicle, which is basically just a

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<v Speaker 2>little you can call it, maybe like a little fat bubble.

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<v Speaker 2>You know. The proteins can get packaged into vesicles and

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<v Speaker 2>sent to the cell membrane, where they can release proteins

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<v Speaker 2>out into the extracellular environment or present the proteins onto

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<v Speaker 2>the cell surface. That can be the case for things

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<v Speaker 2>like antibodies or receptors rather for different channel proteins things

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<v Speaker 2>like that.

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<v Speaker 1>Okay, so right now, no matter what you're doing, there

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<v Speaker 1>are tiny proteins cruising around your cytosol, which is the

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<v Speaker 1>ooze that makes up the cytoplasm in your cells, and

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<v Speaker 1>a gold gie apparatus is sorting some of them and

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<v Speaker 1>just popping them into fat envelopes. And you just have

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<v Speaker 1>no idea how hard they're working in trillions of tiny factories,

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<v Speaker 1>just attaching labels to things and passing chemical notes back

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<v Speaker 1>and forth like two teenage lovers in an after school detention.

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<v Speaker 2>So cells use molecules to communicate. For example, there are

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<v Speaker 2>certain cell pathways that cause cancer, or there's certain cell

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<v Speaker 2>pathways that we can study to risk to understand, like

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<v Speaker 2>cellular responses to immunity, things like that.

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<v Speaker 1>And now you have worked in cancer research. You've worked

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<v Speaker 1>around big vats of E. Coli. You have done like

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<v Speaker 1>some really awesome work, and obviously you're you're working on

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<v Speaker 1>a show right now called Nerdy Jobs, which I'm excited about.

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<v Speaker 1>What was it like studying this, getting your masters and

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<v Speaker 1>then studying this on a corporate level? What types of

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<v Speaker 1>things were you looking at? How does the molecular biologists

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<v Speaker 1>do their work. Do you need like the most gargantuan

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<v Speaker 1>microscopes to look at these curly cue proteins out?

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<v Speaker 2>Yeah? You do? Really Okay, So I was really lucky,

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<v Speaker 2>I feel like because the type of work that I

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<v Speaker 2>was doing was very diverse. I was working at what

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<v Speaker 2>you call a contract research organization, and that's an organization

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<v Speaker 2>that big pharmaceutical companies hire out on a contract to

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<v Speaker 2>carry out smaller portions of their research. So, for example,

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<v Speaker 2>like the vaccines that are coming out right now for

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<v Speaker 2>COVID nineteen, those large pharmaceutical companies could have contracted out

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<v Speaker 2>portions of their research like asking a lot pay, can

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<v Speaker 2>we want you to isolate this protein and report back

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<v Speaker 2>to us about X, Y and z, And then we

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<v Speaker 2>do that and then we give them the results and

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<v Speaker 2>that's it. Or they could contract them out for the

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<v Speaker 2>entire project. Things like that. The kind of work that

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<v Speaker 2>I was doing looked a lot different, almost on a

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<v Speaker 2>weekly basis or monthly basis. Was doing cell transfections, which

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<v Speaker 2>is a fancy word for running experiments to insert DNA

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<v Speaker 2>into cells. Or I was doing crisper projects, or I

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<v Speaker 2>was trying to generate a new cell line that expresses

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<v Speaker 2>a particular protein that we're interested in, or isolating DNA

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<v Speaker 2>from bacteria by the gallons, which is why I had

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<v Speaker 2>to make, you know, basically gallons of poop, like you

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<v Speaker 2>just said, because I was using E. Coli as an

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<v Speaker 2>expression post for the DNA and had to get the

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<v Speaker 2>DNA out of them. And it was really interesting, you know.

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<v Speaker 2>I was working with different types of cell lines, breast

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<v Speaker 2>cancer cell lines, skin cancer cell lines, and even neurono

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<v Speaker 2>cell lines, which is really cool. I did some work

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<v Speaker 2>on trying to understand or find the best drugs to

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<v Speaker 2>treat Parkinson's disease or brain diseases like Alzheimer's as well,

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<v Speaker 2>and that involves some really interesting and fun work using

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<v Speaker 2>neuronal cells.

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<v Speaker 1>Neuronal cells side note are types of neurons in the brain.

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<v Speaker 1>And now when we think of a neuron, you might

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<v Speaker 1>picture like a kind of hand at the end of

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<v Speaker 1>a long arm that has a bulbous other end, or

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<v Speaker 1>maybe it looks like a tree, hence the word dendrite

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<v Speaker 1>from its root tree. But some research estimates there may

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<v Speaker 1>be up to a thousand different types of the cells

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<v Speaker 1>in our nervous system, depending on their structure and function

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<v Speaker 1>or location. So okay, My point is our brains don't

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<v Speaker 1>know everything about our brains, and studying our brains with

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<v Speaker 1>our brains requires machines devised by our brains to study themselves,

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<v Speaker 1>which is creepy and also not cheap.

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<v Speaker 2>The equipment that we use can is often very expensive.

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<v Speaker 2>I had the pleasure of working with the super cool

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<v Speaker 2>machine called the Perkin Elmer Opera.

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<v Speaker 3>I think it's called introducing the Opera Phoenix high content

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<v Speaker 3>screening system from Perkin Elmer. For the speed and sensitivity

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<v Speaker 3>you need no compromise.

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<v Speaker 2>It was super cool because it's a high content screening system.

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<v Speaker 2>So we were able to test hundreds and thousands of

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<v Speaker 2>drug compounds on different cell lines to find out, you know,

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<v Speaker 2>what drugs work the best against a certain type of cancer,

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<v Speaker 2>and then we would formulate the drug Okay.

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<v Speaker 1>Side note, I looked up exactly how expensive this machine is,

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<v Speaker 1>and I couldn't find a price tag listed anywhere. I

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<v Speaker 1>was so frustrated. So then I started searching other avenues

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<v Speaker 1>and I found a twenty eighteen grant proposal asking for

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<v Speaker 1>the money to acquire such an item, and they were

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<v Speaker 1>looking for eight hundred and ninety three one hundred and

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<v Speaker 1>sixty nine nice thousand dollars. Now for that exact price,

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<v Speaker 1>you can also get a five bedroom, four bath, three

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<v Speaker 1>hundred square foot home in Pacific Grove, California. Or you

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<v Speaker 1>can get two rolls Royce phantoms. Or you can buy

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<v Speaker 1>an opera house in Phoenix, Arizona, which was purchased in

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<v Speaker 1>disrepair by the city a few decades ago. Or you

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<v Speaker 1>can look at sells up close and crunch some numbers

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<v Speaker 1>and solve some pretty big problems. And so you're just

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<v Speaker 1>like low key care and cancer when you go into work.

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<v Speaker 1>How it gets done right, Yeah.

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<v Speaker 2>That's the very beginning part of it. Like when you

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<v Speaker 2>talk about clinical trials, that's where it starts with the

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<v Speaker 2>molecular biologists trying to find what drugs you should even

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<v Speaker 2>be looking at in the first place.

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<v Speaker 1>And you obviously also are very good at SCOON and

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<v Speaker 1>you're getting your PhD in science communication itself. What does

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<v Speaker 1>that work?

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<v Speaker 2>Like? This work is so different. Yeah, it's so different.

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<v Speaker 2>And I want to say, like, I feel like my

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<v Speaker 2>PhD would have been a little less painful had I

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<v Speaker 2>really understood and been trained with the social sciences background.

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<v Speaker 2>But I also love it at the same time because

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<v Speaker 2>I feel like I've truly mastered how to think like

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<v Speaker 2>a stem scientist, and now I'm mastering how to think

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<v Speaker 2>like a social scientist. And I feel like I have

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<v Speaker 2>a whole complete brain. It's really cool.

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<v Speaker 1>Well, I imagine getting your PhD in science communication when

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<v Speaker 1>you already are responsible for like huge viral hits and

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<v Speaker 1>you have a great following. Are you finding that in

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<v Speaker 1>the course of getting your PhD you're acting more and

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<v Speaker 1>more as a mentor to the people in the program

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<v Speaker 1>around you?

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<v Speaker 2>You know, It's it's really interesting. Not really my PhDs

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<v Speaker 2>in science education and a lot of the people that

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<v Speaker 2>are in my program aren't doing the same work that

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<v Speaker 2>I'm doing at all. I feel like I'm the only

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<v Speaker 2>person who might have ever even focused on science communication itself.

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<v Speaker 2>A lot of the work that other folks are doing,

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<v Speaker 2>are in the K twelve space and truly centered in

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<v Speaker 2>the classroom, which is fine, but when we come together

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<v Speaker 2>and talk about our research, it definitely looks a lot different.

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<v Speaker 1>So not only will she be getting that PhD very soon,

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<v Speaker 1>but she's also working on a few academic papers about

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<v Speaker 1>science communication and how vital it is for scientists to

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<v Speaker 1>share the work they've done with the public. But how

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<v Speaker 1>does one calm sigh? What are they learning to help

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<v Speaker 1>teach others, how to teach others brains on brains on brains.

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<v Speaker 2>I think that I can talk about one of the

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<v Speaker 2>things that really made my light bulb blow off that

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<v Speaker 2>I learned as a graduate student in education, and this

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<v Speaker 2>was an example that was given in I believe the

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<v Speaker 2>books called How People Learn, and there was an example

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<v Speaker 2>given in the book about how people from different like

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<v Speaker 2>environments physical environments interpret information differently. The example that they

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<v Speaker 2>gave was a very literal one where they described a

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<v Speaker 2>study where they showed a set of pictures to people

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<v Speaker 2>who lived in a very rural flat lands environment and

421
00:25:26.880 --> 00:25:30.519
<v Speaker 2>then that same picture to people who lived in an

422
00:25:30.640 --> 00:25:36.400
<v Speaker 2>urban environment with skyscrapers and tall buildings, and they found

423
00:25:36.519 --> 00:25:42.960
<v Speaker 2>that people from rural environments interpret vertical lines differently than

424
00:25:43.200 --> 00:25:47.880
<v Speaker 2>people who live in urban environments that have tall buildings

425
00:25:47.880 --> 00:25:48.920
<v Speaker 2>in skyscrapers.

426
00:25:49.400 --> 00:25:50.359
<v Speaker 1>Oh my gosh.

427
00:25:50.440 --> 00:25:53.640
<v Speaker 2>Yeah. So, I mean, when you think about that simple thing,

428
00:25:55.319 --> 00:25:59.799
<v Speaker 2>people interpreting lines differently and shapes differently based on how

429
00:26:00.039 --> 00:26:02.720
<v Speaker 2>where they live and where they come from, you can

430
00:26:02.759 --> 00:26:07.119
<v Speaker 2>only imagine all of the complexities that exist from person

431
00:26:07.160 --> 00:26:10.799
<v Speaker 2>to person based on their upbringing, their personal experience. So

432
00:26:10.839 --> 00:26:15.039
<v Speaker 2>I try to be very mindful when I'm educating someone

433
00:26:15.880 --> 00:26:20.400
<v Speaker 2>that not only am I trying to teach them something,

434
00:26:20.440 --> 00:26:23.519
<v Speaker 2>but I, in the same space, should be trying to

435
00:26:23.640 --> 00:26:27.039
<v Speaker 2>learn as much about that person as possible so that

436
00:26:27.119 --> 00:26:29.319
<v Speaker 2>I know how to teach them, or so that I

437
00:26:29.319 --> 00:26:32.400
<v Speaker 2>can understand how they might be interpreting my information.

438
00:26:33.200 --> 00:26:35.839
<v Speaker 1>And now, whether it's one on one or via a

439
00:26:35.960 --> 00:26:39.440
<v Speaker 1>huge viral video, as a communicator, it's important to know

440
00:26:39.680 --> 00:26:42.799
<v Speaker 1>your audience right and cater a little to what will

441
00:26:42.839 --> 00:26:46.200
<v Speaker 1>affect them most powerfully. But how does she do that

442
00:26:46.279 --> 00:26:48.920
<v Speaker 1>while staying true to herself and the art that she

443
00:26:48.960 --> 00:26:51.759
<v Speaker 1>wants to make. You have such a distinct voice, and

444
00:26:51.799 --> 00:26:55.000
<v Speaker 1>you have such a magnetic vibe when it comes to

445
00:26:55.359 --> 00:26:58.599
<v Speaker 1>psychom How did you find your voice?

446
00:26:58.640 --> 00:27:04.519
<v Speaker 2>In it. I love this ques question because it points

447
00:27:04.559 --> 00:27:08.599
<v Speaker 2>me to a very specific moment in my life where

448
00:27:08.640 --> 00:27:14.039
<v Speaker 2>I actively made this decision to exist as I am

449
00:27:14.640 --> 00:27:18.880
<v Speaker 2>in any space that I occupied, but especially as a scientist.

450
00:27:19.000 --> 00:27:23.319
<v Speaker 2>And this moment happened when I was, I believe, a

451
00:27:23.519 --> 00:27:29.039
<v Speaker 2>junior in college. I had started my first, very first

452
00:27:29.240 --> 00:27:33.240
<v Speaker 2>undergraduate research experience. And this is important for a lot

453
00:27:33.240 --> 00:27:38.720
<v Speaker 2>of junior scientists because it's quite often, you know, in college,

454
00:27:38.759 --> 00:27:42.240
<v Speaker 2>we have our first formal research project where we have

455
00:27:42.279 --> 00:27:45.519
<v Speaker 2>a hypothesis and we're actually using things around us to

456
00:27:45.759 --> 00:27:48.440
<v Speaker 2>collect data, and it's a long term thing that takes

457
00:27:48.559 --> 00:27:51.160
<v Speaker 2>months and months, and it's a pretty big deal, you know,

458
00:27:51.279 --> 00:27:54.960
<v Speaker 2>just when you're just starting out. My study was about

459
00:27:55.240 --> 00:28:05.720
<v Speaker 2>understanding soil microbial respiration, and that's really fancy term for

460
00:28:06.920 --> 00:28:12.880
<v Speaker 2>how do the germs in the dirt produce gas and

461
00:28:13.240 --> 00:28:16.440
<v Speaker 2>how much gas. So my experiments, I was taking dirt

462
00:28:16.480 --> 00:28:20.839
<v Speaker 2>and putting it into a closed chamber, and the chamber

463
00:28:21.440 --> 00:28:24.400
<v Speaker 2>had a measurement device on it that would tell me

464
00:28:24.880 --> 00:28:29.319
<v Speaker 2>how much carbon dioxide, what different gas levels were emanating

465
00:28:29.400 --> 00:28:33.759
<v Speaker 2>from the dirt itself. On a bigger scale, things like

466
00:28:33.799 --> 00:28:37.920
<v Speaker 2>global warming or flooding impact how microbes in the soil

467
00:28:38.279 --> 00:28:42.119
<v Speaker 2>produce gas. So that was my research project. And so

468
00:28:42.279 --> 00:28:45.319
<v Speaker 2>I was doing this independently. I was a junior in college.

469
00:28:45.319 --> 00:28:47.640
<v Speaker 2>I had an advisor and I'd go in the lab

470
00:28:47.640 --> 00:28:50.119
<v Speaker 2>every day collect my data, you know, X, Y, and Z.

471
00:28:50.680 --> 00:28:53.160
<v Speaker 2>So this took me months. At the end of semester two,

472
00:28:53.240 --> 00:28:56.960
<v Speaker 2>my advisor says, Raven, you've been working so hard on

473
00:28:57.000 --> 00:29:00.079
<v Speaker 2>all of this. You have great data. I think that

474
00:29:00.160 --> 00:29:08.119
<v Speaker 2>you would be a great presenter at the undergraduate research symposium. Yeah.

475
00:29:08.279 --> 00:29:11.839
<v Speaker 2>I know, and so it's a pretty big deal. And

476
00:29:11.880 --> 00:29:14.680
<v Speaker 2>so for like those of you who don't know what

477
00:29:14.759 --> 00:29:18.440
<v Speaker 2>that is and you're listening, it's basically you get a

478
00:29:18.519 --> 00:29:23.240
<v Speaker 2>chance to put your data and your research onto a poster.

479
00:29:23.599 --> 00:29:27.039
<v Speaker 2>In this case, it was a poster symposium, and all

480
00:29:27.079 --> 00:29:30.599
<v Speaker 2>of the scientists line up. They form aisles in a

481
00:29:30.640 --> 00:29:33.319
<v Speaker 2>big room and you can walk around through the aisles

482
00:29:33.640 --> 00:29:37.160
<v Speaker 2>and ask scientists questions about their research. And so that's

483
00:29:37.200 --> 00:29:40.079
<v Speaker 2>what I was going to be doing. And so my

484
00:29:40.319 --> 00:29:42.559
<v Speaker 2>advisor says, you know, this is what needs to be

485
00:29:42.599 --> 00:29:45.920
<v Speaker 2>on your poster. He explains, you know, how the data

486
00:29:46.400 --> 00:29:50.480
<v Speaker 2>should look, etc. Right, he didn't really explain too much

487
00:29:50.559 --> 00:29:53.640
<v Speaker 2>to me. All I really knew was that I had

488
00:29:53.640 --> 00:29:56.799
<v Speaker 2>to make a poster with my research on it. And

489
00:29:56.839 --> 00:29:59.759
<v Speaker 2>I'm like, great, I worked so hard for this, Like, yeah,

490
00:29:59.799 --> 00:30:03.599
<v Speaker 2>let's do this. I can't wait now, mind you. I'm

491
00:30:03.599 --> 00:30:06.160
<v Speaker 2>a junior in college. The last time I had made

492
00:30:06.160 --> 00:30:10.759
<v Speaker 2>a poster about anything was probably in middle school when

493
00:30:11.079 --> 00:30:16.680
<v Speaker 2>I won an inventor's contest. It was called the Invention Convention,

494
00:30:18.200 --> 00:30:24.480
<v Speaker 2>and I won third place, and my third place it

495
00:30:24.599 --> 00:30:29.400
<v Speaker 2>was Barbie Barbie's fishing row, and it was a Barbie

496
00:30:29.440 --> 00:30:32.480
<v Speaker 2>that had a boat that fished for her so she

497
00:30:32.519 --> 00:30:37.240
<v Speaker 2>could look cute in the boat. I love this, So

498
00:30:37.279 --> 00:30:38.839
<v Speaker 2>she could look cute in the boat. So I had

499
00:30:38.880 --> 00:30:41.839
<v Speaker 2>like the Barbie she was like in pumps and sequins

500
00:30:41.880 --> 00:30:45.200
<v Speaker 2>and stuff in this pink boat and the boat was

501
00:30:45.240 --> 00:30:47.960
<v Speaker 2>fishing for her, so like she could kick back with

502
00:30:48.000 --> 00:30:51.759
<v Speaker 2>her little water bottle and like just chill out in

503
00:30:51.799 --> 00:30:54.559
<v Speaker 2>the ocean, you know whatever. I won third place. My

504
00:30:54.640 --> 00:31:02.960
<v Speaker 2>poster had sequins on it, glitter stickers like Pokemon cards, like,

505
00:31:03.680 --> 00:31:08.920
<v Speaker 2>it was a really intense poster. So we're fast forward

506
00:31:09.039 --> 00:31:16.279
<v Speaker 2>back from from middle school to college. I'm like, hell, yeah,

507
00:31:16.440 --> 00:31:19.440
<v Speaker 2>I get to make another poster, right, Oh my god.

508
00:31:19.599 --> 00:31:24.960
<v Speaker 2>So I go to the craft store. And now I

509
00:31:25.000 --> 00:31:27.279
<v Speaker 2>have big girl money. Okay, I'm in college, right, I've

510
00:31:27.279 --> 00:31:30.279
<v Speaker 2>got I'm not in middle school. I've got dollar I've

511
00:31:30.279 --> 00:31:33.680
<v Speaker 2>got twenty dollars bills and stuff. Right. So I'm at

512
00:31:33.680 --> 00:31:43.279
<v Speaker 2>the craft store. My cart is overflowing with feathers, glitters, stickers, stamps, gosh,

513
00:31:43.319 --> 00:31:50.720
<v Speaker 2>different types of scrapbook paper, glue, I mean anything, ribbons, everything, everything,

514
00:31:51.880 --> 00:31:56.240
<v Speaker 2>And I just I was so proud. I lugged all

515
00:31:56.279 --> 00:31:59.480
<v Speaker 2>of that stuff into my dorm room and I go

516
00:31:59.559 --> 00:32:03.880
<v Speaker 2>to town making my poster m hm. And my advisor

517
00:32:03.920 --> 00:32:07.519
<v Speaker 2>gave me a poster tube because he told me, put

518
00:32:07.559 --> 00:32:10.480
<v Speaker 2>your poster in it, and like, roll your poster up,

519
00:32:10.519 --> 00:32:12.279
<v Speaker 2>put it in the tube so it stays nice for

520
00:32:12.400 --> 00:32:17.079
<v Speaker 2>your symposium. So I finished making my poster with all

521
00:32:17.119 --> 00:32:19.640
<v Speaker 2>of literally all of the things I just described that,

522
00:32:19.759 --> 00:32:23.359
<v Speaker 2>we're in my cart at the craft store, and he says,

523
00:32:23.480 --> 00:32:26.559
<v Speaker 2>I want to check your poster before the symposium tomorrow.

524
00:32:26.640 --> 00:32:29.519
<v Speaker 2>Now we're like the day before the symposium. I'm like sure,

525
00:32:30.440 --> 00:32:34.200
<v Speaker 2>Now I should probably explain what a poster is supposed

526
00:32:34.240 --> 00:32:40.799
<v Speaker 2>to look like. Normally, posters for research conferences are generally

527
00:32:41.799 --> 00:32:48.119
<v Speaker 2>it's generally just paper, Okay, just paper and and one

528
00:32:48.240 --> 00:32:53.359
<v Speaker 2>color of ink usually and in times New Roman, like

529
00:32:53.400 --> 00:32:58.519
<v Speaker 2>the most plain font you could ever think of, about

530
00:32:58.519 --> 00:33:02.039
<v Speaker 2>maybe three hundred to five words total, maybe a couple

531
00:33:02.079 --> 00:33:05.000
<v Speaker 2>of pictures, a graph, your references. I mean, it's just

532
00:33:05.640 --> 00:33:12.000
<v Speaker 2>bare minimum period. Okay. So I come to my advisor's

533
00:33:12.000 --> 00:33:14.880
<v Speaker 2>office and he's like, okay, let's see your poster excited

534
00:33:14.920 --> 00:33:18.599
<v Speaker 2>for tomorrow. I take my poster out the two and

535
00:33:18.640 --> 00:33:20.799
<v Speaker 2>you know how like when you glue glitter on this stuff,

536
00:33:20.799 --> 00:33:23.160
<v Speaker 2>it doesn't really stay on. It kind of like falls up.

537
00:33:23.319 --> 00:33:26.000
<v Speaker 2>So I'm unrolling the poster and there's like chunks of

538
00:33:26.039 --> 00:33:30.119
<v Speaker 2>glitter falling out and like feathers collapsing to the floor

539
00:33:30.200 --> 00:33:34.279
<v Speaker 2>and like it's all crinkly and stuff. And he's like,

540
00:33:34.640 --> 00:33:43.319
<v Speaker 2>oh my god, oh my god. More absolutely mortified. I've

541
00:33:43.359 --> 00:33:48.119
<v Speaker 2>never seen anybody so disappointed in my entire life, even

542
00:33:48.119 --> 00:33:52.240
<v Speaker 2>in my adult life. Okay, this is the most disappointed,

543
00:33:52.799 --> 00:33:58.920
<v Speaker 2>the most disappointment I've ever caused. So he says, not

544
00:33:59.039 --> 00:34:01.240
<v Speaker 2>only oh my god, I can't believe, Wow, what am

545
00:34:01.279 --> 00:34:05.279
<v Speaker 2>I looking at, but also he said two things. You

546
00:34:05.319 --> 00:34:11.480
<v Speaker 2>can either go home and redo this. And he explained

547
00:34:11.480 --> 00:34:13.039
<v Speaker 2>to me that you know the reason why he gave

548
00:34:13.079 --> 00:34:14.840
<v Speaker 2>me the poster tube was because he thought that I

549
00:34:14.960 --> 00:34:17.559
<v Speaker 2>was going to go to the printing office and have

550
00:34:17.679 --> 00:34:19.840
<v Speaker 2>my poster printed, and that I was going to pick

551
00:34:19.840 --> 00:34:22.440
<v Speaker 2>it up from the printing office and put in the tube.

552
00:34:22.519 --> 00:34:24.199
<v Speaker 2>He was like, that's why I gave you the poster

553
00:34:24.519 --> 00:34:26.760
<v Speaker 2>the tube. And he's like, you can either go home

554
00:34:27.320 --> 00:34:29.199
<v Speaker 2>and do this really quick and you might be able

555
00:34:29.239 --> 00:34:31.519
<v Speaker 2>to get it too the printer's office and do this

556
00:34:31.599 --> 00:34:35.440
<v Speaker 2>the right way, like the plane way, or you cannot

557
00:34:35.440 --> 00:34:40.320
<v Speaker 2>go to the conference at all. No, I know, right, no.

558
00:34:41.199 --> 00:34:44.880
<v Speaker 2>And his reasoning was that he felt like people were

559
00:34:44.920 --> 00:34:48.760
<v Speaker 2>going to laugh at me. Didn't He didn't want me

560
00:34:48.800 --> 00:34:51.079
<v Speaker 2>to be embarrassed. He was like, everybody's gonna laugh at you.

561
00:34:51.159 --> 00:34:53.039
<v Speaker 2>This is like you know, this is this is a no.

562
00:34:53.360 --> 00:34:59.719
<v Speaker 2>It's a no for me. Dog it's dog. And I

563
00:34:59.760 --> 00:35:00.599
<v Speaker 2>was like, hmm.

564
00:35:02.519 --> 00:35:02.719
<v Speaker 1>Yeah.

565
00:35:03.599 --> 00:35:08.760
<v Speaker 2>I was like wow, I had to I had to

566
00:35:08.760 --> 00:35:11.119
<v Speaker 2>take a moment, you know, like this was somebody that

567
00:35:11.159 --> 00:35:14.800
<v Speaker 2>I respected telling me this, somebody you know, who has

568
00:35:14.840 --> 00:35:18.199
<v Speaker 2>a PhD in the field and has earned their stripes

569
00:35:18.440 --> 00:35:21.039
<v Speaker 2>well before I was ever gonna earn my stripes. And

570
00:35:21.079 --> 00:35:23.639
<v Speaker 2>I'm like, you know, if this is how this is

571
00:35:23.679 --> 00:35:27.320
<v Speaker 2>supposed to go, that's I get it, you know. But

572
00:35:27.400 --> 00:35:30.400
<v Speaker 2>I also had to sit with the fact that I

573
00:35:30.480 --> 00:35:35.320
<v Speaker 2>really enjoyed making that poster. Yeah, I had spent all night.

574
00:35:35.400 --> 00:35:39.760
<v Speaker 2>I was so excited, you know, and I felt like

575
00:35:39.840 --> 00:35:44.519
<v Speaker 2>I had really put my entire self into making it

576
00:35:44.760 --> 00:35:48.119
<v Speaker 2>and that it was really representative of who I was

577
00:35:48.159 --> 00:35:52.880
<v Speaker 2>as a person. And I also had to sit with

578
00:35:52.920 --> 00:35:56.960
<v Speaker 2>the fact that the whole point of going to the

579
00:35:57.039 --> 00:36:00.679
<v Speaker 2>symposium was to present my research, and that my research

580
00:36:00.960 --> 00:36:04.960
<v Speaker 2>was going to be the same regardless of whether I

581
00:36:05.000 --> 00:36:10.880
<v Speaker 2>remade my poster or not. So I did not redo

582
00:36:10.920 --> 00:36:14.239
<v Speaker 2>my poster. I actually went to the symposium with the

583
00:36:14.280 --> 00:36:26.079
<v Speaker 2>glitter poster. Yes, Yes, it went amazing. So everyone, like

584
00:36:26.119 --> 00:36:29.000
<v Speaker 2>I said before symposium, everybody's standing in a line. We

585
00:36:29.119 --> 00:36:30.920
<v Speaker 2>form aisles, and we're all standing next to each other

586
00:36:31.000 --> 00:36:33.119
<v Speaker 2>with these posters on a stand, waiting for people to

587
00:36:33.119 --> 00:36:35.800
<v Speaker 2>talk to us about our research. And I had people

588
00:36:35.960 --> 00:36:41.800
<v Speaker 2>lining up to talk to me. Ya literally, I love

589
00:36:41.840 --> 00:36:45.559
<v Speaker 2>it lining up. Nobody laughed at me to my face.

590
00:36:47.800 --> 00:36:52.800
<v Speaker 2>People were very inspired to see my poster, and they

591
00:36:52.840 --> 00:36:57.719
<v Speaker 2>were excited to ask me questions about my research. And

592
00:36:57.760 --> 00:37:03.280
<v Speaker 2>not only that I actually won an award. Yeah, I

593
00:37:03.320 --> 00:37:07.000
<v Speaker 2>won an award for my research. Yeah, Oh my god.

594
00:37:07.760 --> 00:37:12.559
<v Speaker 2>It was a student excellence award and it was because

595
00:37:12.639 --> 00:37:14.679
<v Speaker 2>of my research. It had nothing to do with how

596
00:37:14.719 --> 00:37:18.840
<v Speaker 2>my poster looked. It was just excellence in research and

597
00:37:18.960 --> 00:37:23.599
<v Speaker 2>student research. And that was a very important moment for me.

598
00:37:23.760 --> 00:37:26.679
<v Speaker 2>And it's a really simple story, but I was able

599
00:37:26.719 --> 00:37:29.239
<v Speaker 2>to go back to my advisor and I kind of

600
00:37:29.280 --> 00:37:32.559
<v Speaker 2>rubbed it in his face a little bit, yeah, because

601
00:37:32.599 --> 00:37:34.280
<v Speaker 2>he didn't know that I was going to do that.

602
00:37:34.400 --> 00:37:36.639
<v Speaker 2>And I said, look, I got an award. I got

603
00:37:36.639 --> 00:37:38.239
<v Speaker 2>an award for this, And you said people were gonna

604
00:37:38.280 --> 00:37:40.280
<v Speaker 2>laugh at me. And I just learned from that point on,

605
00:37:41.079 --> 00:37:43.760
<v Speaker 2>don't sometimes you don't listen to people when they tell

606
00:37:43.840 --> 00:37:48.280
<v Speaker 2>you no. You know, sometimes no, Actually it's like yes

607
00:37:48.440 --> 00:37:50.679
<v Speaker 2>a lot of times it actually does me no, So like,

608
00:37:51.079 --> 00:37:54.159
<v Speaker 2>don't take me out of context. But when people are

609
00:37:54.199 --> 00:37:57.880
<v Speaker 2>denying you an opportunity to be yourself in a space

610
00:37:57.920 --> 00:38:01.639
<v Speaker 2>where you belong just as you are are, you don't

611
00:38:01.960 --> 00:38:05.000
<v Speaker 2>have to take that denial. You can say no to

612
00:38:05.039 --> 00:38:09.119
<v Speaker 2>that and come as you are and nobody gets hurt.

613
00:38:09.119 --> 00:38:11.400
<v Speaker 2>In fact, people were coming up to me at the

614
00:38:11.400 --> 00:38:16.719
<v Speaker 2>conference business majors, music majors, etc. Saying this makes me

615
00:38:16.760 --> 00:38:20.119
<v Speaker 2>want to take a science class. Oh yeah, it's like,

616
00:38:20.239 --> 00:38:22.599
<v Speaker 2>what major are you that you get to do this stuff? Like,

617
00:38:22.679 --> 00:38:24.559
<v Speaker 2>this is so cool that you get to do this.

618
00:38:24.920 --> 00:38:28.119
<v Speaker 2>It was inspiring to people even outside of my own field.

619
00:38:28.199 --> 00:38:30.400
<v Speaker 2>So I try to carry that energy with me today,

620
00:38:31.239 --> 00:38:34.480
<v Speaker 2>which is probably very obvious. Now. I don't know that

621
00:38:34.519 --> 00:38:37.280
<v Speaker 2>you heard this story, but I just can't live in

622
00:38:37.320 --> 00:38:40.719
<v Speaker 2>a space where somebody's gonna tell me that I can't

623
00:38:40.760 --> 00:38:42.719
<v Speaker 2>bring my glitter poster to the conference, you know.

624
00:38:43.800 --> 00:38:46.320
<v Speaker 1>Oh my gosh, I love this so much. Do you

625
00:38:46.360 --> 00:38:47.199
<v Speaker 1>have pictures of it?

626
00:38:47.639 --> 00:38:51.840
<v Speaker 2>I wish I did. I really wish I did. I was.

627
00:38:51.880 --> 00:38:54.440
<v Speaker 2>It was such a long time ago, and I think

628
00:38:54.480 --> 00:38:57.480
<v Speaker 2>I was just too scared to take a picture of it.

629
00:38:57.519 --> 00:38:59.880
<v Speaker 2>But the glitter never left. I literally can't get rid

630
00:38:59.920 --> 00:39:01.119
<v Speaker 2>of that. Glitterates everywhere.

631
00:39:01.159 --> 00:39:06.800
<v Speaker 1>Still, it's in your soul and you know, under the

632
00:39:06.840 --> 00:39:11.199
<v Speaker 1>baseboards and stuff. I love it. Yeah, Oh, that's so

633
00:39:11.400 --> 00:39:16.119
<v Speaker 1>inspiring that it's okay to be more yourself than you think,

634
00:39:16.239 --> 00:39:18.000
<v Speaker 1>you know, to show up with your whole self.

635
00:39:18.039 --> 00:39:22.960
<v Speaker 2>It is. It's a little scary, but it never It's

636
00:39:23.039 --> 00:39:25.960
<v Speaker 2>never a bad thing to just embrace, embrace who you

637
00:39:26.000 --> 00:39:28.760
<v Speaker 2>are inside. It's just never a bad thing. And once

638
00:39:28.800 --> 00:39:30.480
<v Speaker 2>you kind of get past that fear of what do

639
00:39:30.920 --> 00:39:32.800
<v Speaker 2>other people think? Are people going to laugh at me?

640
00:39:33.960 --> 00:39:37.039
<v Speaker 2>Which they might, And that's fine. It's just the world

641
00:39:37.119 --> 00:39:39.960
<v Speaker 2>is yours. Just go go do it, do it scared.

642
00:39:41.119 --> 00:39:43.800
<v Speaker 1>I love it as a person who has struggled with

643
00:39:43.880 --> 00:39:46.760
<v Speaker 1>being scared to start making something important to me. I

644
00:39:46.800 --> 00:39:50.039
<v Speaker 1>had to mine her for self help strategies because I

645
00:39:50.079 --> 00:39:53.159
<v Speaker 1>am in information leech and that is my deal. Your

646
00:39:53.239 --> 00:39:56.440
<v Speaker 1>videos are incredible and they have explained so much great stuff.

647
00:39:56.960 --> 00:39:59.039
<v Speaker 1>How do you know what you're gonna make a video about?

648
00:39:59.079 --> 00:40:01.360
<v Speaker 1>How do you start writing it? Where does the music

649
00:40:01.400 --> 00:40:03.960
<v Speaker 1>come from?

650
00:40:04.079 --> 00:40:08.079
<v Speaker 2>Usually it's a situation where inspiration just strikes me and

651
00:40:08.159 --> 00:40:11.079
<v Speaker 2>I lock myself in a room for about twenty minutes

652
00:40:11.280 --> 00:40:15.000
<v Speaker 2>and outcomes a song. I don't think people really realize

653
00:40:15.039 --> 00:40:17.320
<v Speaker 2>how quick the process is for me, and it's it's

654
00:40:17.360 --> 00:40:19.880
<v Speaker 2>often so quick that I don't know my own lyrics,

655
00:40:21.440 --> 00:40:24.360
<v Speaker 2>and you, like, if you look at my videos closely,

656
00:40:24.400 --> 00:40:27.679
<v Speaker 2>you'll see like, as I'm lip syncing, I actually miss

657
00:40:27.719 --> 00:40:29.039
<v Speaker 2>a lot of the words. I don't know what I'm

658
00:40:29.039 --> 00:40:31.719
<v Speaker 2>saying because I wrote the song in like three seconds,

659
00:40:31.760 --> 00:40:33.719
<v Speaker 2>and then I'm trying to record it on a video

660
00:40:33.760 --> 00:40:35.519
<v Speaker 2>and I don't remember what I just said. Also, I

661
00:40:35.519 --> 00:40:39.320
<v Speaker 2>have ADHD, so that's probably a part of it. But yeah,

662
00:40:39.320 --> 00:40:40.559
<v Speaker 2>it's a really quick process.

663
00:40:42.519 --> 00:40:46.159
<v Speaker 1>Do you decide when you are writing it kind of

664
00:40:46.159 --> 00:40:47.519
<v Speaker 1>what the video is going to look like or do

665
00:40:47.559 --> 00:40:49.079
<v Speaker 1>you just film a bunch of stuff and it comes

666
00:40:49.079 --> 00:40:49.840
<v Speaker 1>together in the edit.

667
00:40:50.360 --> 00:40:53.599
<v Speaker 2>Well, because we're in a pandemic, and most of the

668
00:40:53.639 --> 00:40:55.719
<v Speaker 2>work that I've done at this point has been during

669
00:40:55.719 --> 00:41:01.360
<v Speaker 2>a pandemic, I have limited resources. You know. I can't

670
00:41:01.440 --> 00:41:05.280
<v Speaker 2>go out to places like inside of the lab to

671
00:41:05.400 --> 00:41:08.519
<v Speaker 2>film fun things. It's there's two feet of snow on

672
00:41:08.519 --> 00:41:10.639
<v Speaker 2>the ground right now, Like I can't really go outside.

673
00:41:10.679 --> 00:41:13.519
<v Speaker 2>So I just work with what I have and try

674
00:41:13.559 --> 00:41:17.480
<v Speaker 2>to use my personality and my presence to add certain

675
00:41:17.519 --> 00:41:22.039
<v Speaker 2>dimensions to what I'm doing. But my partner, you know,

676
00:41:22.199 --> 00:41:25.760
<v Speaker 2>he he already knows, Like once I make a song,

677
00:41:25.880 --> 00:41:28.400
<v Speaker 2>he's already committed, whether he likes it or not, to

678
00:41:28.599 --> 00:41:31.679
<v Speaker 2>like helping with the music video, He's like, all right,

679
00:41:32.679 --> 00:41:35.159
<v Speaker 2>she's got a song. What angle do I need to

680
00:41:35.199 --> 00:41:39.400
<v Speaker 2>hold the camera? Like all right? He loves it though,

681
00:41:39.440 --> 00:41:42.519
<v Speaker 2>he's just he's a he's a huge introvert, but he

682
00:41:42.639 --> 00:41:44.440
<v Speaker 2>likes to be on the other side of the camera.

683
00:41:45.639 --> 00:41:48.840
<v Speaker 1>And you two are now married. You met at math camp?

684
00:41:48.960 --> 00:41:51.760
<v Speaker 2>Correct, we did meet at math camp.

685
00:41:52.199 --> 00:41:56.639
<v Speaker 1>Yes' story just two hot nerds meeting at math camp

686
00:41:56.679 --> 00:41:58.360
<v Speaker 1>getting married like a decade later.

687
00:41:58.639 --> 00:42:02.519
<v Speaker 2>I know. I honestly like didn't give him the time

688
00:42:02.559 --> 00:42:05.559
<v Speaker 2>of day when we first met because he was so quiet,

689
00:42:05.760 --> 00:42:08.559
<v Speaker 2>you know, and I have a lot of personality, so

690
00:42:08.840 --> 00:42:10.880
<v Speaker 2>he didn't really stick out to me then. He was

691
00:42:10.920 --> 00:42:13.239
<v Speaker 2>just the quiet hot guy. I'm like, we love each

692
00:42:13.280 --> 00:42:16.320
<v Speaker 2>other very much. He has a Twitter account now where

693
00:42:16.360 --> 00:42:21.880
<v Speaker 2>he teases me relentlessly, so yeah, he's shy but behind

694
00:42:21.880 --> 00:42:24.800
<v Speaker 2>a little fake account. Yeah, he says a lot.

695
00:42:26.239 --> 00:42:27.440
<v Speaker 1>That's mister science maven.

696
00:42:27.519 --> 00:42:28.119
<v Speaker 2>Right. Yeah.

697
00:42:28.280 --> 00:42:31.320
<v Speaker 1>Yeah, And you touched on a little bit that you

698
00:42:31.599 --> 00:42:35.400
<v Speaker 1>have ADHD, and I wanted to ask about how you

699
00:42:36.239 --> 00:42:40.119
<v Speaker 1>have learned maybe workarounds or things that work for how

700
00:42:40.159 --> 00:42:43.719
<v Speaker 1>your brain works. So anything that you've learned that you

701
00:42:43.760 --> 00:42:44.960
<v Speaker 1>wish that you knew earlier.

702
00:42:45.719 --> 00:42:51.239
<v Speaker 2>I think that you really do have to give yourself

703
00:42:51.360 --> 00:42:57.880
<v Speaker 2>grace and just understand that your brain simply does not

704
00:42:58.679 --> 00:43:03.320
<v Speaker 2>operate how most people's brains work, and it's not your fault.

705
00:43:03.599 --> 00:43:05.960
<v Speaker 2>You know that you do things maybe a little bit

706
00:43:06.039 --> 00:43:08.639
<v Speaker 2>slower than other people because you need just a little

707
00:43:08.679 --> 00:43:10.800
<v Speaker 2>bit of extra time to process, or maybe you might

708
00:43:10.800 --> 00:43:15.960
<v Speaker 2>get distracted unfortunately or off task. Just have grace with

709
00:43:16.039 --> 00:43:19.119
<v Speaker 2>yourself and understand it's not really a deficit. It's just

710
00:43:19.159 --> 00:43:23.199
<v Speaker 2>a different type of life that you're meant to live,

711
00:43:23.360 --> 00:43:27.519
<v Speaker 2>and it couldn't be your superpower. I love trying to

712
00:43:27.519 --> 00:43:31.800
<v Speaker 2>figure out new ways to accommodate myself and give myself grace. Like,

713
00:43:32.239 --> 00:43:36.000
<v Speaker 2>for example, if I had a meeting or something where

714
00:43:36.039 --> 00:43:39.239
<v Speaker 2>I've had to concentrate for a long time, I like

715
00:43:39.320 --> 00:43:41.639
<v Speaker 2>to just give myself grace and say, you know what,

716
00:43:42.159 --> 00:43:44.840
<v Speaker 2>you worked really hard to focus and stay still for

717
00:43:44.920 --> 00:43:48.199
<v Speaker 2>this meeting. If you want to pig out, you know,

718
00:43:48.480 --> 00:43:52.199
<v Speaker 2>or just be a goofball for the rest of the day,

719
00:43:52.320 --> 00:43:55.079
<v Speaker 2>do that like you earned that, that's okay. If you

720
00:43:55.119 --> 00:44:00.559
<v Speaker 2>can't handle anymore, that's also okay. And also asking for

721
00:44:00.599 --> 00:44:02.760
<v Speaker 2>help when I need it has been a really big thing,

722
00:44:02.840 --> 00:44:06.000
<v Speaker 2>especially this past year, and there's no one size fits

723
00:44:06.000 --> 00:44:08.920
<v Speaker 2>all answer for everybody. But I do think that that

724
00:44:09.039 --> 00:44:12.840
<v Speaker 2>knowledge is power and sharing information is the best thing

725
00:44:12.840 --> 00:44:13.480
<v Speaker 2>that we can do.

726
00:44:13.840 --> 00:44:17.760
<v Speaker 1>I have so many questions from patrons. Can I just

727
00:44:17.920 --> 00:44:19.719
<v Speaker 1>lobs at you oo?

728
00:44:19.800 --> 00:44:20.039
<v Speaker 2>Yes?

729
00:44:20.559 --> 00:44:24.599
<v Speaker 1>Okay, but before we Pepper her with curiosities. We will,

730
00:44:24.599 --> 00:44:27.119
<v Speaker 1>of course donate to a cause of the ologists choosing,

731
00:44:27.320 --> 00:44:29.480
<v Speaker 1>and Raven said she didn't have a preference, She just

732
00:44:29.519 --> 00:44:31.760
<v Speaker 1>liked the money to go to whomever needs it. And

733
00:44:31.800 --> 00:44:34.920
<v Speaker 1>as it happened, our mutual buddy Hank Green's Project for

734
00:44:34.960 --> 00:44:37.639
<v Speaker 1>Awesome was this past weekend, so we made a donation

735
00:44:37.800 --> 00:44:41.239
<v Speaker 1>in Raven's name, which happened to be at the final

736
00:44:41.320 --> 00:44:43.920
<v Speaker 1>couple of seconds as they reached the two million dollar mark,

737
00:44:44.159 --> 00:44:46.719
<v Speaker 1>I logged on and they were a few hundred dollars short,

738
00:44:46.920 --> 00:44:49.320
<v Speaker 1>so we made it happen. Project for Awesome is a

739
00:44:49.360 --> 00:44:52.840
<v Speaker 1>project of the Foundation to decrease world suck, and you

740
00:44:52.880 --> 00:44:56.000
<v Speaker 1>can learn more about them at projectfoawesome dot com. And

741
00:44:56.039 --> 00:44:58.800
<v Speaker 1>that donation was made possible by sponsors of the show,

742
00:44:59.000 --> 00:45:04.480
<v Speaker 1>whom I shall now yammer about very briefly. Okay, you

743
00:45:04.559 --> 00:45:07.719
<v Speaker 1>had questions for Raven, but in addition to the questions,

744
00:45:07.840 --> 00:45:11.440
<v Speaker 1>you had praise and compliments in general fawning, I loved

745
00:45:11.440 --> 00:45:15.320
<v Speaker 1>it before I read you questions. Kelsey Napa says, holy crap,

746
00:45:15.400 --> 00:45:15.920
<v Speaker 1>I love her.

747
00:45:16.400 --> 00:45:19.360
<v Speaker 2>Yeah, I love you too, Kelsey.

748
00:45:19.880 --> 00:45:22.960
<v Speaker 1>Crystal Hakka just says, Raven the science Maven and all

749
00:45:23.000 --> 00:45:25.639
<v Speaker 1>caps answered Jonah Hill squealing and hand flailing.

750
00:45:25.719 --> 00:45:26.239
<v Speaker 2>Chiff Here.

751
00:45:26.639 --> 00:45:29.239
<v Speaker 1>Alanda Cole says, Hi, Raven, I'm a huge fan. I

752
00:45:29.320 --> 00:45:36.000
<v Speaker 1>have no specific question, just saying that I just can't. Yeah,

753
00:45:36.079 --> 00:45:39.079
<v Speaker 1>I love it. Florence Jan says Raven, I follow you

754
00:45:39.119 --> 00:45:43.119
<v Speaker 1>on Twitter and I'm a big fan. Seb Kencino says, Hi, Raven,

755
00:45:43.199 --> 00:45:45.639
<v Speaker 1>I love how you illuminate Twitter. So yeah, just a

756
00:45:45.639 --> 00:45:48.360
<v Speaker 1>lot of messages saying all caps squealing because they are

757
00:45:48.480 --> 00:45:50.519
<v Speaker 1>very people that are very excited that you're on.

758
00:45:51.559 --> 00:45:54.440
<v Speaker 2>The feeling is mutual. Thanks every joting me. A lot of.

759
00:45:54.360 --> 00:45:58.239
<v Speaker 1>Folks had questions, including I'm Brandon Butler and Ashley Emmanuel.

760
00:45:59.760 --> 00:46:03.719
<v Speaker 1>Is mitochondria actually the powerhouse of the cell? What is

761
00:46:03.760 --> 00:46:07.920
<v Speaker 1>the mitochondria doing? Lah?

762
00:46:08.239 --> 00:46:18.119
<v Speaker 2>So, yeah, it definitely is the mitochondria of eukaryotic cells,

763
00:46:18.480 --> 00:46:24.239
<v Speaker 2>meaning not bacteria basically. And what mitochondria do is they

764
00:46:24.320 --> 00:46:30.119
<v Speaker 2>break down sugars and turn them into energy.

765
00:46:31.760 --> 00:46:35.000
<v Speaker 1>It's almost like something that breaks down gasoline in our car.

766
00:46:36.000 --> 00:46:39.440
<v Speaker 2>Honestly, yeah, it's pretty much.

767
00:46:42.079 --> 00:46:44.159
<v Speaker 1>Okay, I look this up and wouldn't you know it,

768
00:46:44.280 --> 00:46:47.639
<v Speaker 1>Molecular biology happens to be a little bit more complicated

769
00:46:47.679 --> 00:46:51.519
<v Speaker 1>than a Honda civic engine. But still mitochondria do sort

770
00:46:51.559 --> 00:46:55.199
<v Speaker 1>of burn our food fuel and produce a source of energy.

771
00:46:55.280 --> 00:46:59.559
<v Speaker 1>This whole process is called oxidative phosphorylation, and it does

772
00:46:59.599 --> 00:47:02.960
<v Speaker 1>require oxygen, just like a combustion engine. Also, there can

773
00:47:03.000 --> 00:47:06.280
<v Speaker 1>be a bunch of mitochondria shoved into one cell. The

774
00:47:06.440 --> 00:47:11.360
<v Speaker 1>swimmy sperm have mitochondria that run in a spiral down

775
00:47:11.400 --> 00:47:14.679
<v Speaker 1>as flappy floppy tail, kind of like ribbons on a

776
00:47:14.679 --> 00:47:17.760
<v Speaker 1>really horny maypole. Your hard working heart muscles right now

777
00:47:17.960 --> 00:47:22.280
<v Speaker 1>are really jam packed with mitochondria. So yes, mitochondria is

778
00:47:22.280 --> 00:47:25.679
<v Speaker 1>the powerhouse of the cell. It is useful information to

779
00:47:25.760 --> 00:47:29.440
<v Speaker 1>know if you're into breathing and being alive and stuff. Now,

780
00:47:29.559 --> 00:47:33.360
<v Speaker 1>as long as we are gossiping about spiral structures, let's

781
00:47:33.400 --> 00:47:38.559
<v Speaker 1>get into the heroic helix, shall we. Keana Spinelli asks,

782
00:47:38.840 --> 00:47:40.800
<v Speaker 1>I was told several times when I was younger that

783
00:47:40.800 --> 00:47:43.360
<v Speaker 1>there were six plus feet of a DNA strand in

784
00:47:43.519 --> 00:47:47.360
<v Speaker 1>just one cell. Is this true or is that flim flam?

785
00:47:47.679 --> 00:47:50.159
<v Speaker 2>Oh my gosh. So I don't know the exact answer

786
00:47:50.199 --> 00:47:53.639
<v Speaker 2>to this, but I would not be surprised because DNA

787
00:47:53.880 --> 00:47:58.920
<v Speaker 2>is super coiled inside of your nucleus. I mean, it's

788
00:47:59.119 --> 00:48:02.159
<v Speaker 2>It doesn't just hang out and there like spaghetti. It's

789
00:48:02.199 --> 00:48:05.639
<v Speaker 2>wrapped around itself. It's wrapped around things called histones, and

790
00:48:05.760 --> 00:48:09.519
<v Speaker 2>it's very tightly and neatly packaged inside of your nucleus.

791
00:48:09.519 --> 00:48:11.559
<v Speaker 2>So I wouldn't be surprised if you stretched it all

792
00:48:11.559 --> 00:48:14.679
<v Speaker 2>out that it did that it did end up being

793
00:48:14.719 --> 00:48:17.079
<v Speaker 2>six feet or six and a half feet.

794
00:48:16.760 --> 00:48:18.880
<v Speaker 1>Okay, I was so curious. I had to double check this,

795
00:48:19.039 --> 00:48:22.760
<v Speaker 1>and geneticist doctor Barry Starr does confirm that it's about

796
00:48:22.800 --> 00:48:27.320
<v Speaker 1>six feet or two meters of DNA strands inside each cell,

797
00:48:27.719 --> 00:48:31.559
<v Speaker 1>and then he calculated that each human being has around

798
00:48:31.679 --> 00:48:36.679
<v Speaker 1>ten billion miles of DNA in them, meaning that your

799
00:48:36.800 --> 00:48:39.679
<v Speaker 1>DNA your DNA right now, just as you're sitting here

800
00:48:39.880 --> 00:48:43.480
<v Speaker 1>eating pirate's booty or whatever, your DNA could stretch to

801
00:48:43.719 --> 00:48:50.000
<v Speaker 1>the Sun and back. What you, beautiful freak, You just

802
00:48:50.760 --> 00:48:54.440
<v Speaker 1>living pooping work of magic, all of us. I have

803
00:48:54.960 --> 00:48:57.679
<v Speaker 1>a ton of questions, and I will list all of

804
00:48:57.679 --> 00:49:00.440
<v Speaker 1>the people who asked about it, because it is numerous. Okay,

805
00:49:00.440 --> 00:49:04.079
<v Speaker 1>deep breath, I'm looking at you, patrons. Eric Pahanka, Gabriel Stern,

806
00:49:04.199 --> 00:49:08.480
<v Speaker 1>Austin Davis Bourne, Colin, Mike Monoikowski, Anna Goosman, Alanda Cole,

807
00:49:08.559 --> 00:49:14.559
<v Speaker 1>Adele Maisonneve, Mattie Reeves, Morgan, Alexander Coburn, Seth Succi, Bennett Gerber,

808
00:49:14.599 --> 00:49:17.280
<v Speaker 1>and Jen Squirrel Alvarez, as well as first time question

809
00:49:17.360 --> 00:49:21.079
<v Speaker 1>askers Katie Willis, Melanie Lee and Nano Naturalist who called

810
00:49:21.079 --> 00:49:24.880
<v Speaker 1>them foldy boys, and Jizle Balpazar Carazone, who wrote in

811
00:49:25.079 --> 00:49:28.400
<v Speaker 1>specifically this question just tickled me. So I'm reading you.

812
00:49:28.559 --> 00:49:31.400
<v Speaker 1>But as far as I understand it, a preon disease

813
00:49:31.599 --> 00:49:33.679
<v Speaker 1>is due to a fucked up protein which fucks up

814
00:49:33.800 --> 00:49:37.360
<v Speaker 1>unfucked up proteins when they end. Is it possible to

815
00:49:37.440 --> 00:49:41.239
<v Speaker 1>engineer a beneficial preon or whatever, like a blessed protein

816
00:49:41.519 --> 00:49:45.920
<v Speaker 1>saundering around blessing the unenlightened common proats that's what they're

817
00:49:45.920 --> 00:49:49.039
<v Speaker 1>called now, so that they can work more effectively, efficiently

818
00:49:49.239 --> 00:49:53.239
<v Speaker 1>and blessedly inside our disgusting sacks of disappointment and gore.

819
00:49:53.400 --> 00:49:56.719
<v Speaker 1>How superheroes are made the preonic man, we have the technology.

820
00:49:58.000 --> 00:49:58.480
<v Speaker 2>A lot of.

821
00:49:58.599 --> 00:50:02.119
<v Speaker 1>People asked how terrified should I be about preon diseases?

822
00:50:02.239 --> 00:50:05.719
<v Speaker 1>Davis Board asks, please tell us everything about all caps preons.

823
00:50:05.920 --> 00:50:07.880
<v Speaker 1>I hope I'm saying it prions because I've I've read

824
00:50:07.920 --> 00:50:10.960
<v Speaker 1>that it's preons or prions, and I get very self

825
00:50:10.960 --> 00:50:12.079
<v Speaker 1>conscious about how it stand.

826
00:50:12.599 --> 00:50:20.239
<v Speaker 2>Yeah, I've said prior. Okay, you know I'm not saying

827
00:50:20.280 --> 00:50:24.400
<v Speaker 2>I'm not saying prion to correct you. It's just let's

828
00:50:24.440 --> 00:50:32.159
<v Speaker 2>just cover all of our bases here. So yes, hypothetically

829
00:50:32.920 --> 00:50:35.159
<v Speaker 2>that would be it would be possible for us to

830
00:50:35.360 --> 00:50:40.400
<v Speaker 2>create a prion that that can do this, But I

831
00:50:40.440 --> 00:50:43.559
<v Speaker 2>don't think that we even have a good enough understanding

832
00:50:44.119 --> 00:50:47.679
<v Speaker 2>of protein folding at this point to do that, Like

833
00:50:47.800 --> 00:50:52.360
<v Speaker 2>we just I'm not sure if you caught what what's

834
00:50:52.440 --> 00:50:55.519
<v Speaker 2>happened recently with the alpha fold.

835
00:50:56.159 --> 00:50:58.519
<v Speaker 1>Yes, we have so many questions about that. Oh you

836
00:50:58.639 --> 00:51:03.000
<v Speaker 1>do alpha side note was developed by Google's deep Mind,

837
00:51:03.280 --> 00:51:07.199
<v Speaker 1>and this AI program ranked number one multiple times on

838
00:51:07.320 --> 00:51:11.920
<v Speaker 1>predicting protein folding structures. Its last victory and such a

839
00:51:11.920 --> 00:51:14.880
<v Speaker 1>competition was back in November, and it yielded results that

840
00:51:15.000 --> 00:51:18.679
<v Speaker 1>scientists called astounding. Everyone lost their shit about this for

841
00:51:18.760 --> 00:51:20.880
<v Speaker 1>good reason. It was nuts, and a lot of people

842
00:51:20.960 --> 00:51:24.679
<v Speaker 1>asked about it, including Hudson Ansley, Adam Drake, Jamie Jensen,

843
00:51:25.000 --> 00:51:28.119
<v Speaker 1>and then Sam Kilgore, who phrased it, how excited are

844
00:51:28.119 --> 00:51:31.199
<v Speaker 1>you about deep Mind's protein folding AI on a scale

845
00:51:31.360 --> 00:51:33.079
<v Speaker 1>from ferry to OMFG.

846
00:51:33.559 --> 00:51:38.599
<v Speaker 2>Well, basically, I should say that my entire master's degree

847
00:51:38.639 --> 00:51:42.519
<v Speaker 2>is about protein folding. And I spent two and a

848
00:51:42.559 --> 00:51:49.440
<v Speaker 2>half years characterizing the structure and the function of a

849
00:51:49.559 --> 00:51:53.159
<v Speaker 2>chaperone protein, which is a protein that helps other proteins fold.

850
00:51:53.239 --> 00:51:55.000
<v Speaker 2>It took me two and a half years to just

851
00:51:55.119 --> 00:51:59.320
<v Speaker 2>do that, to look at the sequence and understand based

852
00:51:59.360 --> 00:52:02.400
<v Speaker 2>on this, based on these amino acids, this is how

853
00:52:02.440 --> 00:52:09.519
<v Speaker 2>this chaperone protein should fold. The alpha fold alpha fold

854
00:52:09.519 --> 00:52:14.199
<v Speaker 2>program can probably take the same information and do it

855
00:52:14.360 --> 00:52:18.280
<v Speaker 2>in less than a minute, if not seconds. Oh my god,

856
00:52:18.599 --> 00:52:23.599
<v Speaker 2>So we within you know, I want to say, just

857
00:52:23.639 --> 00:52:25.960
<v Speaker 2>a handful of years, we've been able to make this

858
00:52:26.440 --> 00:52:31.760
<v Speaker 2>advancement in technology, and this advancement and having AI help

859
00:52:31.840 --> 00:52:34.880
<v Speaker 2>us understand how proteins fold and make those predictions will

860
00:52:34.960 --> 00:52:38.519
<v Speaker 2>help us to understand how proteins interact with each other

861
00:52:39.440 --> 00:52:42.400
<v Speaker 2>because there are a lot of a lot of pathways,

862
00:52:42.760 --> 00:52:47.840
<v Speaker 2>meaning you know, chains of reaction where things are interacting

863
00:52:47.880 --> 00:52:51.119
<v Speaker 2>with other things in the Celler's a lot of pathways

864
00:52:51.119 --> 00:52:53.800
<v Speaker 2>that we are still trying to figure out. So it's

865
00:52:53.960 --> 00:52:56.960
<v Speaker 2>very possible that we could make a protein do assist

866
00:52:57.000 --> 00:53:03.880
<v Speaker 2>with prion diseases, but we haven't figured out really the basics. Yeah,

867
00:53:04.400 --> 00:53:08.039
<v Speaker 2>but technology is very promising and helping us do that.

868
00:53:08.639 --> 00:53:12.639
<v Speaker 1>So how do these prion preon diseases even start. I

869
00:53:12.719 --> 00:53:14.679
<v Speaker 1>want to say that they are the work of a

870
00:53:14.719 --> 00:53:18.320
<v Speaker 1>tiny microscopic or a gommi goblin, but is that true?

871
00:53:18.760 --> 00:53:25.960
<v Speaker 2>Yeah, so prions, there are misfolded proteins proteins they are

872
00:53:27.679 --> 00:53:30.599
<v Speaker 2>when they come out of the ribosome as they're being made.

873
00:53:30.639 --> 00:53:35.519
<v Speaker 2>They're folding based on their amino acid sequence. But there's

874
00:53:35.559 --> 00:53:39.800
<v Speaker 2>also a lot of other checkpoints that are happening in

875
00:53:39.800 --> 00:53:43.480
<v Speaker 2>that process that is acting as a safeguard to make

876
00:53:43.519 --> 00:53:46.119
<v Speaker 2>sure that that protein's being folded properly. So we have

877
00:53:46.760 --> 00:53:51.480
<v Speaker 2>other proteins that are called chaperone proteins, and literally they

878
00:53:51.639 --> 00:53:57.280
<v Speaker 2>are helping the protein fold into its correct shape. And

879
00:53:57.360 --> 00:54:01.480
<v Speaker 2>the protein shape determines its function, so to fold the

880
00:54:01.559 --> 00:54:04.360
<v Speaker 2>exact right way so that it can do its job.

881
00:54:05.159 --> 00:54:08.800
<v Speaker 2>When that doesn't happen the right way, it can cause disease.

882
00:54:09.239 --> 00:54:13.599
<v Speaker 2>Some things that can happen are when the proteins are misfolded,

883
00:54:13.639 --> 00:54:18.039
<v Speaker 2>they can accumulate together, they can stick together, they're affecting

884
00:54:18.159 --> 00:54:24.199
<v Speaker 2>other variants of the same protein and causing them to misfold.

885
00:54:24.599 --> 00:54:27.960
<v Speaker 2>So it's something that you really don't want to happen. Yeah,

886
00:54:29.159 --> 00:54:34.079
<v Speaker 2>and mad cow disease is one of them. There's quite

887
00:54:34.119 --> 00:54:36.079
<v Speaker 2>a few of them. I don't know them all because

888
00:54:36.119 --> 00:54:39.000
<v Speaker 2>this is like a very small subset. It's a really

889
00:54:39.000 --> 00:54:41.280
<v Speaker 2>interesting area. I think proteins are so interesting.

890
00:54:41.840 --> 00:54:45.679
<v Speaker 1>So a few tiny tidbits. Priyon comes from the portmanteau

891
00:54:45.960 --> 00:54:50.639
<v Speaker 1>of the words protonacious, infectious particle. And I just read

892
00:54:50.719 --> 00:54:53.599
<v Speaker 1>that the scientist who coined the phrase wat and it

893
00:54:53.679 --> 00:54:57.360
<v Speaker 1>pronounced predon, So we may have a real jift gift

894
00:54:57.559 --> 00:55:00.440
<v Speaker 1>sitch here. Please do not write to me. I don't

895
00:55:00.440 --> 00:55:03.679
<v Speaker 1>want to hear it. So, according to a twenty nineteen

896
00:55:03.920 --> 00:55:09.159
<v Speaker 1>Seminars in Neurology article, preon diseases share the commonality and

897
00:55:09.559 --> 00:55:14.719
<v Speaker 1>preon diseases share the commonality of abnormally shaped proteins that

898
00:55:14.880 --> 00:55:18.599
<v Speaker 1>resist being broken down by heat, even extreme heat, and

899
00:55:18.719 --> 00:55:22.800
<v Speaker 1>by chemicals like proteases. So there are a few variations.

900
00:55:22.840 --> 00:55:26.760
<v Speaker 1>There's sporadic, genetic and acquired. But don't freak out too

901
00:55:26.800 --> 00:55:30.159
<v Speaker 1>hard though. Preon disease is still pretty rare, with about

902
00:55:30.199 --> 00:55:33.559
<v Speaker 1>three hundred and fifty cases happening in the US per year.

903
00:55:34.159 --> 00:55:36.559
<v Speaker 1>My main advice is just try not to eat a

904
00:55:36.559 --> 00:55:39.400
<v Speaker 1>lot of brains. Isn't that helpful? Also, if you're worried

905
00:55:39.400 --> 00:55:44.159
<v Speaker 1>about chronic wasting disease, which is spreading in deer populations

906
00:55:44.199 --> 00:55:46.079
<v Speaker 1>in the United States, there's some info on that in

907
00:55:46.119 --> 00:55:49.559
<v Speaker 1>the Cervidology episodes I did in September about deer. But

908
00:55:49.679 --> 00:55:55.199
<v Speaker 1>let's talk about cuter things like little ABT proteins with legs,

909
00:55:55.239 --> 00:55:59.840
<v Speaker 1>marching a molecule down a path. You mentioned also chaperone protein.

910
00:56:00.079 --> 00:56:03.360
<v Speaker 1>Someone Jacob Elsbury asked, how accurate is that viral Jeff

911
00:56:03.440 --> 00:56:06.920
<v Speaker 1>of a cute little Kinesian protein trotting around the cell

912
00:56:07.000 --> 00:56:09.519
<v Speaker 1>carrying a giant backpack of what I'm assuming it's more protein.

913
00:56:09.639 --> 00:56:11.360
<v Speaker 1>Is that at all accurate?

914
00:56:11.679 --> 00:56:15.039
<v Speaker 2>It's accurate, But the reality is that it is not

915
00:56:15.159 --> 00:56:20.039
<v Speaker 2>walking that slowly at all. Like, oh no, those little

916
00:56:20.159 --> 00:56:24.480
<v Speaker 2>bad boys, whatever bad things, the little bad things, they

917
00:56:24.480 --> 00:56:27.840
<v Speaker 2>are zipping across like faster than you can even blink.

918
00:56:28.320 --> 00:56:32.760
<v Speaker 2>So that's the only real difference there. I mean, obviously

919
00:56:32.840 --> 00:56:34.360
<v Speaker 2>it's not gonna be that cute.

920
00:56:34.360 --> 00:56:35.599
<v Speaker 1>That little thing is so cute.

921
00:56:38.000 --> 00:56:40.159
<v Speaker 2>Yeah, he's running, he's running for his life.

922
00:56:42.400 --> 00:56:47.000
<v Speaker 1>A few people asked about motor proteins. Honey wants to know.

923
00:56:47.039 --> 00:56:49.079
<v Speaker 1>Can you tell us about motor proteins. How the heck

924
00:56:49.119 --> 00:56:49.639
<v Speaker 1>do they work?

925
00:56:50.519 --> 00:56:54.360
<v Speaker 2>Ah? So, the little guy walking is a motor protein

926
00:56:55.039 --> 00:57:01.199
<v Speaker 2>and they carry cargo. Basically, the cargo go that are

927
00:57:01.239 --> 00:57:07.039
<v Speaker 2>containing molecules, proteins, whatever it could be. Anything it could be.

928
00:57:07.079 --> 00:57:12.119
<v Speaker 2>They could be carrying organelles, they can carry different structures

929
00:57:12.159 --> 00:57:17.079
<v Speaker 2>within the cell. They can move chromosomes. They're just they're

930
00:57:17.119 --> 00:57:22.280
<v Speaker 2>working hard. Okay, they're working hard, and they move in

931
00:57:22.400 --> 00:57:25.360
<v Speaker 2>particular ways. Think of this as a highway, and one

932
00:57:25.440 --> 00:57:29.639
<v Speaker 2>end of the highway is a negative side and the

933
00:57:29.679 --> 00:57:33.480
<v Speaker 2>other side is positive. Dininge walks towards the negative end,

934
00:57:35.360 --> 00:57:42.800
<v Speaker 2>and they're carrying their cargo from the peripheral side of

935
00:57:42.840 --> 00:57:45.559
<v Speaker 2>the cell to the center of the cell. And then

936
00:57:45.639 --> 00:57:52.960
<v Speaker 2>Keynesin is like Dinine's sister, and they are walking in

937
00:57:52.960 --> 00:57:57.239
<v Speaker 2>the opposite direction. So they're walking towards the positive side,

938
00:57:57.239 --> 00:57:59.559
<v Speaker 2>and they carry their cargo from the center of the

939
00:57:59.599 --> 00:58:03.519
<v Speaker 2>cell to the periphery of the cell. So in order

940
00:58:03.559 --> 00:58:07.000
<v Speaker 2>to move their little feet, they use ATP, which is

941
00:58:07.199 --> 00:58:10.840
<v Speaker 2>the energy currency of the cell, which comes from the mitochondria.

942
00:58:10.920 --> 00:58:13.920
<v Speaker 2>So now we've come full circle back to the mitochondria.

943
00:58:15.039 --> 00:58:16.280
<v Speaker 2>They're going so fast.

944
00:58:17.480 --> 00:58:20.519
<v Speaker 1>John Sanson has a question about where did DNA even

945
00:58:20.559 --> 00:58:22.760
<v Speaker 1>come from? Like how did random bits of atoms and

946
00:58:22.840 --> 00:58:26.360
<v Speaker 1>molecules know to build themselves into proteins and then assemble

947
00:58:26.360 --> 00:58:29.199
<v Speaker 1>into DNA strands which now tell other things to build

948
00:58:29.360 --> 00:58:30.400
<v Speaker 1>other DNA strands.

949
00:58:31.199 --> 00:58:35.519
<v Speaker 2>This is something that I think about too much and

950
00:58:35.639 --> 00:58:39.719
<v Speaker 2>it freaks me out. My brain is melting. But let's

951
00:58:39.760 --> 00:58:43.119
<v Speaker 2>look great. That's that's a question about the origin of life,

952
00:58:44.400 --> 00:58:49.039
<v Speaker 2>because all living organisms on Earth use DNA to generate

953
00:58:49.079 --> 00:58:54.239
<v Speaker 2>their life process, and we don't necessarily know exactly how

954
00:58:54.280 --> 00:58:57.559
<v Speaker 2>this all started, and this will be a question that

955
00:58:57.639 --> 00:59:00.639
<v Speaker 2>we're we are likely trying to answer for many, many

956
00:59:00.719 --> 00:59:03.599
<v Speaker 2>years to come. But I love thinking about it because

957
00:59:03.639 --> 00:59:04.920
<v Speaker 2>of all the possibilities.

958
00:59:05.280 --> 00:59:09.159
<v Speaker 1>So for years, the hypothesis has been that DNA started

959
00:59:09.159 --> 00:59:12.679
<v Speaker 1>with the simpler single strand RNA, But in the past

960
00:59:12.719 --> 00:59:16.599
<v Speaker 1>decade or so, other scientists are just begging to differ

961
00:59:16.960 --> 00:59:19.880
<v Speaker 1>and say that DNA, which kind of has a trickier

962
00:59:20.000 --> 00:59:23.599
<v Speaker 1>sugar molecule as well as that double helix shape, could

963
00:59:23.599 --> 00:59:26.679
<v Speaker 1>have arisen at the same time. It's even possible that

964
00:59:26.760 --> 00:59:31.119
<v Speaker 1>a hybrid RNA DNA molecule first arose and then split

965
00:59:31.199 --> 00:59:33.840
<v Speaker 1>off into two forms. Who's to know if you have

966
00:59:33.880 --> 00:59:36.480
<v Speaker 1>a time machine, let us know. Now. One thing we

967
00:59:36.519 --> 00:59:39.480
<v Speaker 1>are sure about is that these replicated codes have been

968
00:59:39.800 --> 00:59:44.320
<v Speaker 1>encased in cellular goo and structures for billions of years.

969
00:59:44.440 --> 00:59:48.039
<v Speaker 1>Billions with a B plus. In all this talk about DNA,

970
00:59:48.119 --> 00:59:51.599
<v Speaker 1>I wanted to know if Raven has any feelings about Watson,

971
00:59:52.119 --> 00:59:55.280
<v Speaker 1>Crick and Franklin. Is that something that ever gets her goat?

972
00:59:55.559 --> 00:59:59.880
<v Speaker 2>Oh it does. It's funny because I'm actually on the

973
01:00:00.079 --> 01:00:04.199
<v Speaker 2>Rosalind Franklin the Society's advisory boards, so shout out to

974
01:00:04.920 --> 01:00:09.719
<v Speaker 2>shout out to Rosalind Franklin. But yeah, the way that

975
01:00:09.760 --> 01:00:13.920
<v Speaker 2>I learned the story was that Rosalind Franklin, there were

976
01:00:13.960 --> 01:00:17.920
<v Speaker 2>several scientists working at the same time to understand the

977
01:00:17.920 --> 01:00:25.360
<v Speaker 2>structure of DNA, and my understanding is that Rosalind, Franklin, Watson,

978
01:00:25.400 --> 01:00:31.119
<v Speaker 2>and Krik were all scientists who were They weren't working together.

979
01:00:31.320 --> 01:00:36.000
<v Speaker 2>Rosalind Franklin was working separately than the others, but the

980
01:00:36.039 --> 01:00:39.280
<v Speaker 2>two guys Watson and Krik made a visit to Rosalind's

981
01:00:39.320 --> 01:00:43.679
<v Speaker 2>lab as she was doing similar work and stole some

982
01:00:43.760 --> 01:00:47.199
<v Speaker 2>of her information so that they could further their own

983
01:00:47.320 --> 01:00:52.960
<v Speaker 2>findings and ultimately win a Nobel price for it. So

984
01:00:55.079 --> 01:00:55.559
<v Speaker 2>there's that.

985
01:00:55.920 --> 01:01:07.159
<v Speaker 1>Yeah, okay, a few people Katrina nujen Adele Davis Bourne epigenetics.

986
01:01:07.719 --> 01:01:10.760
<v Speaker 1>What's going on? How does it change DNA expression and

987
01:01:10.800 --> 01:01:13.840
<v Speaker 1>pass it on to the next generation? Katrina ask will

988
01:01:13.880 --> 01:01:16.280
<v Speaker 1>my children have my same weird quirks and habits?

989
01:01:16.679 --> 01:01:19.599
<v Speaker 2>This is really interesting and something that I wish I

990
01:01:19.599 --> 01:01:22.559
<v Speaker 2>had spent more time on when I was on my

991
01:01:22.639 --> 01:01:27.920
<v Speaker 2>genetics cake. But epigenetics it's a part of molecular bio

992
01:01:28.000 --> 01:01:32.199
<v Speaker 2>that's looking at heredity, but not heredity that's caused by

993
01:01:33.280 --> 01:01:40.679
<v Speaker 2>actual alterations in DNA itself. Right, the DNA has a code,

994
01:01:41.599 --> 01:01:46.320
<v Speaker 2>and that set of code again codes for proteins and

995
01:01:46.400 --> 01:01:54.719
<v Speaker 2>protein products. But epigenetics it's like they are changes on

996
01:01:55.559 --> 01:01:58.639
<v Speaker 2>the DNA, like literally on it. But it's really cool.

997
01:01:58.800 --> 01:02:00.800
<v Speaker 2>It's a different way of looking at heredity.

998
01:02:01.280 --> 01:02:05.119
<v Speaker 1>So for a very very quick primer on epigenetics, your

999
01:02:05.280 --> 01:02:08.239
<v Speaker 1>DNA is a big ass long coat, kind of like

1000
01:02:08.480 --> 01:02:12.599
<v Speaker 1>a recipe or an ingredients list, and that double helix

1001
01:02:12.679 --> 01:02:15.719
<v Speaker 1>is like a big old long scroll, just meters of

1002
01:02:15.760 --> 01:02:19.000
<v Speaker 1>it right in each cell. So how does a cell

1003
01:02:19.079 --> 01:02:21.880
<v Speaker 1>with all the instructions for all the other cells know

1004
01:02:22.119 --> 01:02:26.760
<v Speaker 1>to be a heart cell or groamy one, bristly mustache

1005
01:02:26.760 --> 01:02:30.559
<v Speaker 1>hair or line my guts. So certain genes are turned

1006
01:02:30.800 --> 01:02:34.400
<v Speaker 1>on or off by signals or even proteins according to

1007
01:02:34.480 --> 01:02:37.199
<v Speaker 1>the function of the cell. But the proteins can also

1008
01:02:37.280 --> 01:02:40.280
<v Speaker 1>turn on and off other expressions of the cell in

1009
01:02:40.320 --> 01:02:44.639
<v Speaker 1>response to environmental factors and then replicate from there, and

1010
01:02:44.679 --> 01:02:48.320
<v Speaker 1>that is called your epigenome. Now, speaking of hearts, many

1011
01:02:48.360 --> 01:02:51.760
<v Speaker 1>patrons wanted to know what was closest to Ravens and

1012
01:02:51.960 --> 01:02:56.000
<v Speaker 1>Katie matt Sicato, Earl of Graymulkin, Kathleen sachs, Ira Gray,

1013
01:02:56.079 --> 01:02:59.800
<v Speaker 1>and Ashley Emmanuel all had favorite questions essentially favorite type

1014
01:02:59.800 --> 01:03:04.840
<v Speaker 1>of cell or protein or organelle or nitrogenous base, just

1015
01:03:04.960 --> 01:03:08.159
<v Speaker 1>normal questions you'd ask. Really any celeb. George Powell wants

1016
01:03:08.159 --> 01:03:10.280
<v Speaker 1>to note, what's your favorite protein?

1017
01:03:10.760 --> 01:03:15.039
<v Speaker 2>Oh, you know what, that's a really good question. I

1018
01:03:15.119 --> 01:03:21.599
<v Speaker 2>personally am fascinated by how people name proteins. There is

1019
01:03:21.920 --> 01:03:28.679
<v Speaker 2>a protein called the pokemon protein. What. Yeah, There's a

1020
01:03:28.760 --> 01:03:33.800
<v Speaker 2>protein called sonic hedgehog, which is actually a critical gene

1021
01:03:33.840 --> 01:03:40.440
<v Speaker 2>involved in human development. And there's a nemo one. There's

1022
01:03:40.480 --> 01:03:45.239
<v Speaker 2>a cannon Barbie protein. There's scramblease, which is an enzyme

1023
01:03:45.320 --> 01:03:50.639
<v Speaker 2>that scrambles phospholipids between the inside and the outside of

1024
01:03:50.639 --> 01:03:56.599
<v Speaker 2>this a cell membrane. There's pikachuran protein. There's spock one

1025
01:03:57.000 --> 01:04:02.360
<v Speaker 2>that's in zebrafish and it causes the fish to develop

1026
01:04:02.440 --> 01:04:03.800
<v Speaker 2>like pointy ears like spock.

1027
01:04:04.480 --> 01:04:08.719
<v Speaker 1>No, yeah, I mean earl of Gramblekin asked do you

1028
01:04:08.760 --> 01:04:11.599
<v Speaker 1>have a favorite protein or protein name? And I had

1029
01:04:11.719 --> 01:04:16.000
<v Speaker 1>no idea why. They asked about the name. Who gets

1030
01:04:16.039 --> 01:04:16.840
<v Speaker 1>to name these?

1031
01:04:17.199 --> 01:04:19.679
<v Speaker 2>The scientists that discover them get to name them.

1032
01:04:20.320 --> 01:04:23.840
<v Speaker 1>Oh, my gosh, A lot of animation fans apparently.

1033
01:04:24.599 --> 01:04:28.920
<v Speaker 2>Yeah, yeah, I mean these these are They're really funny.

1034
01:04:29.239 --> 01:04:33.079
<v Speaker 1>Obviously, there's so many things that must be difficult about

1035
01:04:33.719 --> 01:04:37.119
<v Speaker 1>trying to wrap your brain around these tiny rotein structures.

1036
01:04:37.159 --> 01:04:39.960
<v Speaker 1>But what is the most difficult thing about being a

1037
01:04:40.239 --> 01:04:43.599
<v Speaker 1>molecular biologist who is also a science communicator, who is

1038
01:04:43.639 --> 01:04:48.599
<v Speaker 1>also responsible for teaching so many people about very complicated topics, Like,

1039
01:04:48.760 --> 01:04:50.360
<v Speaker 1>what's the hardest part about it?

1040
01:04:50.639 --> 01:04:55.280
<v Speaker 2>Oh, the hardest part about what I do? Uh, that's

1041
01:04:55.280 --> 01:05:01.960
<v Speaker 2>a good one. Let's see. Hmm. I think that maybe

1042
01:05:02.000 --> 01:05:07.360
<v Speaker 2>the hardest part of what I do is it's also

1043
01:05:07.599 --> 01:05:11.119
<v Speaker 2>one of the most important things that I that I do,

1044
01:05:11.239 --> 01:05:14.199
<v Speaker 2>and I know, although it's hard, I really do try

1045
01:05:14.239 --> 01:05:17.480
<v Speaker 2>my best, and that is to always just make sure

1046
01:05:17.519 --> 01:05:23.920
<v Speaker 2>that you're communicating accurate information because oftentimes people they may

1047
01:05:23.960 --> 01:05:28.800
<v Speaker 2>not necessarily go to directly to the source for their

1048
01:05:29.559 --> 01:05:32.119
<v Speaker 2>primary understanding of what's going on in the science world,

1049
01:05:32.119 --> 01:05:34.280
<v Speaker 2>and they're looking at people like me or going on

1050
01:05:34.360 --> 01:05:38.960
<v Speaker 2>social media to get their information. And it's just so

1051
01:05:39.039 --> 01:05:43.159
<v Speaker 2>important that although what we do is fun and it's

1052
01:05:43.199 --> 01:05:46.079
<v Speaker 2>meant to be friendly and approachable, that we're always focused

1053
01:05:46.079 --> 01:05:49.920
<v Speaker 2>on giving as accurate, if information as possible. And I'm

1054
01:05:50.039 --> 01:05:53.599
<v Speaker 2>very careful to only speak on things that I feel

1055
01:05:53.599 --> 01:05:56.480
<v Speaker 2>like I'm truly an expert in, and if I'm not

1056
01:05:56.960 --> 01:05:59.679
<v Speaker 2>an expert in it, I definitely point people to a

1057
01:05:59.719 --> 01:06:03.880
<v Speaker 2>recon source, a person who is an expert, or I

1058
01:06:03.960 --> 01:06:06.920
<v Speaker 2>find very basic information and try to translate that the

1059
01:06:06.960 --> 01:06:10.519
<v Speaker 2>best way that I can. But I definitely think that

1060
01:06:11.480 --> 01:06:17.159
<v Speaker 2>it's important to always be accurate first and then be

1061
01:06:17.239 --> 01:06:20.639
<v Speaker 2>engaging second. You can do those things at the same time,

1062
01:06:20.800 --> 01:06:22.800
<v Speaker 2>but definitely not one without the other.

1063
01:06:23.119 --> 01:06:26.639
<v Speaker 1>Do you have any advice for anyone who is going

1064
01:06:26.679 --> 01:06:30.920
<v Speaker 1>into molecular biology or science communication, or things that if

1065
01:06:30.960 --> 01:06:32.880
<v Speaker 1>you had a time machine you could go back and

1066
01:06:33.320 --> 01:06:34.880
<v Speaker 1>pep talk yourself about.

1067
01:06:35.480 --> 01:06:39.960
<v Speaker 2>You know, I think that maybe one of the biggest

1068
01:06:40.199 --> 01:06:42.920
<v Speaker 2>pieces of advice I would say for somebody who's interested

1069
01:06:42.920 --> 01:06:45.880
<v Speaker 2>in doing both of those things, make sure that you're

1070
01:06:45.920 --> 01:06:49.800
<v Speaker 2>applying to programs that will support you in both of

1071
01:06:50.000 --> 01:06:54.119
<v Speaker 2>your interests. There are programs that exist, they seem to

1072
01:06:54.159 --> 01:06:56.480
<v Speaker 2>be very few, but just keep an eye out for

1073
01:06:56.639 --> 01:07:02.559
<v Speaker 2>programs that can support your interest in being a scientist

1074
01:07:02.679 --> 01:07:06.480
<v Speaker 2>who wants to communicate and who has a desire to

1075
01:07:06.519 --> 01:07:12.119
<v Speaker 2>be a public facing information source, and look out for

1076
01:07:12.400 --> 01:07:17.039
<v Speaker 2>programs that have opportunities for you to learn how to

1077
01:07:17.079 --> 01:07:19.960
<v Speaker 2>be the best communicator and the best scientist at the

1078
01:07:20.000 --> 01:07:24.840
<v Speaker 2>same time. Try not to sacrifice your interests. There are

1079
01:07:24.880 --> 01:07:28.440
<v Speaker 2>a lot of times that I've heard people who are

1080
01:07:28.440 --> 01:07:31.039
<v Speaker 2>interested in being a scientist and an educator often have

1081
01:07:31.079 --> 01:07:34.280
<v Speaker 2>to choose between the two when they're looking to enroll

1082
01:07:34.320 --> 01:07:37.760
<v Speaker 2>in programs. But it doesn't have to be the case.

1083
01:07:38.039 --> 01:07:41.239
<v Speaker 2>So definitely look hard and make sure you find your

1084
01:07:41.239 --> 01:07:44.960
<v Speaker 2>home that's going to be good for you and will

1085
01:07:44.960 --> 01:07:46.119
<v Speaker 2>serve your best interest.

1086
01:07:47.519 --> 01:07:49.320
<v Speaker 1>And what about the thing you love the most about

1087
01:07:49.320 --> 01:07:49.679
<v Speaker 1>what you do.

1088
01:07:50.280 --> 01:07:56.039
<v Speaker 2>I truly love building community, and I think that because

1089
01:07:56.159 --> 01:08:01.480
<v Speaker 2>I am who I am, I tend to build communities

1090
01:08:01.519 --> 01:08:05.119
<v Speaker 2>that are very diverse because I show a lot of

1091
01:08:05.159 --> 01:08:09.400
<v Speaker 2>different sides of myself that I feel like people from

1092
01:08:09.480 --> 01:08:12.320
<v Speaker 2>different walks of life and different backgrounds can relate to.

1093
01:08:13.360 --> 01:08:15.960
<v Speaker 2>And I try to be very transparent about who I

1094
01:08:16.000 --> 01:08:18.560
<v Speaker 2>am and what I'm interested in and what I'm passionate about,

1095
01:08:19.039 --> 01:08:24.439
<v Speaker 2>so that people who even aren't in science can latch

1096
01:08:24.479 --> 01:08:28.960
<v Speaker 2>onto something about a scientist that they see and maybe

1097
01:08:29.039 --> 01:08:32.840
<v Speaker 2>be more willing to listen and learn about science because

1098
01:08:32.840 --> 01:08:36.279
<v Speaker 2>they do relate. And I also love bringing these communities

1099
01:08:36.279 --> 01:08:42.399
<v Speaker 2>together in conversations about important things and watching people in

1100
01:08:42.439 --> 01:08:45.560
<v Speaker 2>my community learn from each other and teach each other.

1101
01:08:45.720 --> 01:08:49.039
<v Speaker 2>That's probably the best thing that I enjoy about what

1102
01:08:49.119 --> 01:08:49.800
<v Speaker 2>I do.

1103
01:08:49.840 --> 01:08:52.079
<v Speaker 1>You have a lot of projects guard going on. Is

1104
01:08:52.119 --> 01:08:55.840
<v Speaker 1>there anything that we should be looking out for, anything

1105
01:08:55.840 --> 01:08:57.439
<v Speaker 1>that you're working on that you're really excited about?

1106
01:08:57.760 --> 01:09:02.000
<v Speaker 2>Yes, I am. I'm always working on new things. That's

1107
01:09:02.359 --> 01:09:07.199
<v Speaker 2>one of the awesome parts about having ADHD. And I

1108
01:09:07.239 --> 01:09:09.800
<v Speaker 2>think a lot of people are like, how do you

1109
01:09:09.840 --> 01:09:12.079
<v Speaker 2>do so many things at once? I have help. I

1110
01:09:12.079 --> 01:09:15.359
<v Speaker 2>have people around me who want to see me succeed

1111
01:09:15.520 --> 01:09:18.840
<v Speaker 2>and try to step in where they can to make

1112
01:09:18.880 --> 01:09:23.880
<v Speaker 2>sure that everything runs relatively smoothly. But one of my

1113
01:09:24.039 --> 01:09:26.239
<v Speaker 2>most exciting things that I'm working on is my new

1114
01:09:26.239 --> 01:09:32.520
<v Speaker 2>fashion line, Smarty Pants. And Smarty Pants is really what

1115
01:09:32.640 --> 01:09:38.439
<v Speaker 2>I've always wanted to do for the STEM community. I've

1116
01:09:38.760 --> 01:09:42.880
<v Speaker 2>always wanted to give something to people that they could

1117
01:09:42.880 --> 01:09:48.279
<v Speaker 2>wear that expressed their sense of belonging in the field

1118
01:09:48.479 --> 01:09:53.359
<v Speaker 2>and their desire to be seen for both the brilliance

1119
01:09:53.399 --> 01:09:57.359
<v Speaker 2>that they have inside and also make that shine from

1120
01:09:57.399 --> 01:10:02.039
<v Speaker 2>within to the outside. And so it's it's really meant

1121
01:10:02.079 --> 01:10:05.199
<v Speaker 2>to be clothes that empower you as you go on

1122
01:10:05.279 --> 01:10:10.079
<v Speaker 2>about your everyday work in STEM and beyond, because it's

1123
01:10:10.079 --> 01:10:13.079
<v Speaker 2>really not just for STEM professionals, just for anybody who

1124
01:10:14.520 --> 01:10:20.319
<v Speaker 2>supports STEM, enjoys learning about STEM, or somebody who identifies

1125
01:10:20.359 --> 01:10:22.199
<v Speaker 2>as a smarty Pants mm hmm.

1126
01:10:22.479 --> 01:10:25.800
<v Speaker 1>It's just it's really infectious the way that you communicate

1127
01:10:25.800 --> 01:10:29.560
<v Speaker 1>your science. So I'm excited to call you doctor Baxter.

1128
01:10:30.560 --> 01:10:34.000
<v Speaker 1>When I know any idea timeline on that, when we

1129
01:10:34.079 --> 01:10:37.560
<v Speaker 1>can pop all the champagne in the world ever, that would.

1130
01:10:37.399 --> 01:10:42.039
<v Speaker 2>Be late April, I will be doctor Raven the science

1131
01:10:42.079 --> 01:10:46.800
<v Speaker 2>maven Ah. That's so exciting. It sounds nake.

1132
01:10:47.800 --> 01:10:50.319
<v Speaker 1>It's amazing. I'm so excited for you. Do you know

1133
01:10:50.319 --> 01:10:51.239
<v Speaker 1>how you're gonna celebrate?

1134
01:10:51.600 --> 01:10:55.560
<v Speaker 2>I want to throw a party, but we'll see. I

1135
01:10:55.680 --> 01:10:58.960
<v Speaker 2>just want everybody who's who's happy for me to also

1136
01:10:59.079 --> 01:11:01.239
<v Speaker 2>have the chance to sell right. So I'm thinking maybe

1137
01:11:01.319 --> 01:11:06.319
<v Speaker 2>an online Shenanigan, Yeah, like a I don't know. I'm

1138
01:11:06.319 --> 01:11:10.079
<v Speaker 2>thinking a disco party. Yes, please?

1139
01:11:10.399 --> 01:11:14.680
<v Speaker 1>So ask smart Maven's very simple, shameless questions. Because you

1140
01:11:14.760 --> 01:11:17.840
<v Speaker 1>only live once, and maybe your molecules may get rebuilt

1141
01:11:18.119 --> 01:11:20.920
<v Speaker 1>and refolded into proteins and become a frog. But why

1142
01:11:20.960 --> 01:11:24.199
<v Speaker 1>not learn while you're alive and a person. So To

1143
01:11:24.319 --> 01:11:27.840
<v Speaker 1>follow or see Raven's videos or ted talk, you can

1144
01:11:27.880 --> 01:11:31.079
<v Speaker 1>head to her website simevn dot com or find her

1145
01:11:31.119 --> 01:11:35.800
<v Speaker 1>on Instagram at raventhscience Maven or on Twitter at Ravensimevan.

1146
01:11:36.199 --> 01:11:38.760
<v Speaker 1>Those links, plus links to her YouTube and her videos

1147
01:11:38.800 --> 01:11:41.319
<v Speaker 1>will be up also at aliwar dot com slash ologies

1148
01:11:41.439 --> 01:11:44.760
<v Speaker 1>slash Molecular Biology. You can follow me if you like

1149
01:11:45.000 --> 01:11:47.960
<v Speaker 1>on Instagram and Twitter. I'm at Aliward with one L

1150
01:11:48.079 --> 01:11:51.159
<v Speaker 1>on both. We're also at ologies on Twitter and Instagram.

1151
01:11:51.399 --> 01:11:54.800
<v Speaker 1>Ologies Merch is available at ologiesmerch dot com. Thanks Shannon,

1152
01:11:54.840 --> 01:11:57.520
<v Speaker 1>fields and Bonnie Dutch for managing that. Thank you Emily

1153
01:11:57.520 --> 01:12:02.000
<v Speaker 1>White and all the transcribers from making transcripts available. Those

1154
01:12:02.039 --> 01:12:04.119
<v Speaker 1>are linked in the show notes as well. Thank you

1155
01:12:04.159 --> 01:12:07.520
<v Speaker 1>Caleb Patten for leaping episodes so that they are kids safe.

1156
01:12:07.920 --> 01:12:09.600
<v Speaker 1>That's linked in the show notes as well. Thank you

1157
01:12:09.640 --> 01:12:13.039
<v Speaker 1>Noel Dilworth aka the Best, who helps me manage all

1158
01:12:13.039 --> 01:12:16.520
<v Speaker 1>my scheduling. Because inside my skull is just one steaming

1159
01:12:16.560 --> 01:12:18.960
<v Speaker 1>scoop of chili, it doesn't always get the job done.

1160
01:12:19.000 --> 01:12:21.800
<v Speaker 1>So thank you also to Jared Sleeper who assistant edits

1161
01:12:22.000 --> 01:12:24.399
<v Speaker 1>and does so much more like he just grabbed me

1162
01:12:24.520 --> 01:12:27.039
<v Speaker 1>a bag of carab chips to snack on, no joke,

1163
01:12:27.119 --> 01:12:29.720
<v Speaker 1>and I like them. And also to the glitter on

1164
01:12:29.800 --> 01:12:33.840
<v Speaker 1>our poster, Stephen Ray Morris, who now hosts three podcasts

1165
01:12:33.960 --> 01:12:37.199
<v Speaker 1>see Jurassicwright, The per Cast, and Everything but the Movie,

1166
01:12:37.279 --> 01:12:41.159
<v Speaker 1>a Star Wars Books podcast. Nick Thorburn wrote and performed

1167
01:12:41.159 --> 01:12:43.279
<v Speaker 1>the theme music. He is in a band called Islands,

1168
01:12:43.319 --> 01:12:45.239
<v Speaker 1>which is a very good band, and if you listen

1169
01:12:45.439 --> 01:12:48.319
<v Speaker 1>through the credits to celebrate those people, then I also

1170
01:12:48.399 --> 01:12:50.399
<v Speaker 1>tell you a secret at the end of the episode

1171
01:12:50.439 --> 01:12:53.600
<v Speaker 1>this week. Okay, so we're getting some work done in

1172
01:12:53.640 --> 01:12:56.760
<v Speaker 1>the yard and it involves poored concrete, and I feel

1173
01:12:56.960 --> 01:13:01.840
<v Speaker 1>really awful because I learned after that concrete is terrible

1174
01:13:01.880 --> 01:13:05.199
<v Speaker 1>for the environment and carbon emissions. And then that led

1175
01:13:05.279 --> 01:13:09.239
<v Speaker 1>me down a path of using stone stacking to build

1176
01:13:09.239 --> 01:13:11.920
<v Speaker 1>some other stuff in the yard. And I found out

1177
01:13:11.920 --> 01:13:15.399
<v Speaker 1>there are these free rocks you can get literally by

1178
01:13:15.399 --> 01:13:19.159
<v Speaker 1>the ton, almost anywhere, and sometimes people will deliver them

1179
01:13:19.600 --> 01:13:23.439
<v Speaker 1>for free. And the stone is called urbanite, and it's

1180
01:13:23.640 --> 01:13:27.640
<v Speaker 1>just broken up concrete. It's just straight up junk that

1181
01:13:27.680 --> 01:13:29.359
<v Speaker 1>they would throw away, but you can get it for

1182
01:13:29.359 --> 01:13:31.600
<v Speaker 1>free and you could build stuff with it. So look

1183
01:13:31.680 --> 01:13:35.520
<v Speaker 1>up urbanite like walls and stuff. Pretty cool. It looks

1184
01:13:35.640 --> 01:13:38.960
<v Speaker 1>kind of awesome. It looks like old stone walls, a

1185
01:13:38.960 --> 01:13:42.279
<v Speaker 1>little craggy. Anyway, Urbanite it's a thing, and if you're

1186
01:13:42.319 --> 01:13:44.560
<v Speaker 1>looking for it, you can just check Craigslist under the

1187
01:13:44.600 --> 01:13:48.520
<v Speaker 1>free section for free concrete or urbanite. Some people are

1188
01:13:48.520 --> 01:13:52.239
<v Speaker 1>already hip to the name. And I realized just now

1189
01:13:52.279 --> 01:13:54.640
<v Speaker 1>that in telling you the secret, maybe this might help

1190
01:13:54.640 --> 01:13:58.039
<v Speaker 1>me atone for my concrete use before I knew any better.

1191
01:13:58.359 --> 01:14:01.359
<v Speaker 1>So just go on craig list and look for free

1192
01:14:01.439 --> 01:14:04.279
<v Speaker 1>concrete or urbanite. Pinarest the hell out of it. And

1193
01:14:04.840 --> 01:14:07.520
<v Speaker 1>let's try to use more of that and less concrete. Okay,

1194
01:14:07.560 --> 01:14:20.039
<v Speaker 1>A bright Pacadermatology, hobbiology, r doo, zoology, lithology, new technology, meteorology, metatology, menthology, seriology,

1195
01:14:20.600 --> 01:14:21.359
<v Speaker 1>selenology

1196
01:14:28.119 --> 01:14:32.039
<v Speaker 3>Bengal Dino DM