Plain language. Monthly episodes.
Dec. 15, 2023

Breaking Barriers: Dr. Shannan Rossi on Viruses and the Business of Science

Breaking Barriers: Dr. Shannan Rossi on Viruses and the Business of Science

 

Ever wondered about the intricate connection between human, animal, plant, and environmental health? Join us as Dr. Shannan Rossi, an associate professor in the Department of Pathology at UTMB, illuminates this fascinating concept known as 'One Health'. Dr. Rossi enchants us with her research on developing countermeasures for mosquito-borne viruses, specifically the Venezuelan equine encephalitis virus. She makes a compelling case for the continuous research and preparedness necessary for potential future outbreaks, underscoring the cyclical nature of such occurrences and the challenges of garnering interest and funding during quieter periods.

We then deeply dive into the world of sexually transmitted viruses, particularly those transmitted by mosquitoes. Dr. Rossi shares her captivating journey into this field, shedding light on the unique challenges of working with semen samples and detecting viral infections. She stresses the importance of diversity in science, opening up about her experiences as a female scientist. Furthermore, she shares her unique experience of juggling an MBA with her scientific pursuits, revealing the oft-ignored business aspect of science. We also discuss the crucial role of science in society, particularly amid a pandemic. So, join us for a conversation filled with stories of tenacity, curiosity, and the pivotal role of effective communication in funding vital research.

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Thanks for listening to the Infectious Science Podcast. Be sure to visit infectiousscience.org to join the conversation, access the show notes, and don’t forget to sign up for our newsletter to receive our free materials.

We hope you enjoyed this new episode of Infectious Science, and if you did, please leave us a review on Apple Podcasts and Spotify. Please share this episode with others who may be interested in this topic!

Also, please don’t hesitate to ask questions or tell us which topics you want us to cover in future episodes. To get in touch, drop us a line in the comment section or send us a message on social media.
Twitter @Infectious_Sci
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See you next time for a new episode!

Chapters

00:11 - Exploring One Health

10:00 - Sexual Transmission of Viruses

19:00 - Tenacity in Learning and Science-Business Intersection

Transcript

WEBVTT

00:00:11.192 --> 00:00:18.689
This is a podcast about one health the idea that the health of humans, animals, plants and the environment that we all share are intrinsically linked.

00:00:19.379 --> 00:00:23.050
Coming to you from the University of Texas Medical Branch in the Galveston National Laboratory.

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This is infectious science.

00:00:24.864 --> 00:00:26.704
We're enthusiasm for science.

00:00:27.359 --> 00:00:30.268
This is contagious, dr Sweetenham.

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Hi, good to see you again, good to see you too.

00:00:36.956 --> 00:00:37.076
Matt.

00:00:38.652 --> 00:00:38.875
All right.

00:00:40.087 --> 00:00:45.268
Now we know who we are, yeah, so it's good to see you back in the podcast room.

00:00:45.600 --> 00:00:46.363
Yeah, it's been a little while.

00:00:49.011 --> 00:00:54.250
It has, and we are so lucky today because we are joined by a friend, a colleague, dr Shannon Rossi.

00:00:54.270 --> 00:00:56.581
Hello Hi.

00:00:58.359 --> 00:01:04.340
From our department of pathology and associate professor and recently minted five six months ago MBA.

00:01:04.981 --> 00:01:05.766
I know right.

00:01:06.359 --> 00:01:10.340
PhD, MBA those are not always things we hear listed together.

00:01:10.340 --> 00:01:11.043
We're going to get into that.

00:01:12.962 --> 00:01:16.310
We're going to talk about it, but thanks for coming.

00:01:17.228 --> 00:01:18.016
Oh, thanks for having me.

00:01:18.016 --> 00:01:19.724
It's fun to be in the closet.

00:01:19.724 --> 00:01:21.733
Yeah, we are excited to have you here.

00:01:21.733 --> 00:01:24.457
We're excited to get to explore a little bit about your life and your career and some of the science that you do.

00:01:24.457 --> 00:01:35.319
Can I just say I'm especially excited to have you here because when I first started at UTMB, my very first rotation, Shannon, was actually a postdoc in the lab.

00:01:35.319 --> 00:01:44.155
So some of your research interests and the research interests of some of the other people in the lab at that time were really really fundamental in me forming my own research interest.

00:01:44.155 --> 00:01:45.424
So I'm excited to have you here today.

00:01:47.043 --> 00:01:47.846
Oh, that's really sweet to hear.

00:01:47.846 --> 00:01:50.206
I still have your lab notebook if you want to back.

00:01:50.379 --> 00:01:51.774
Oh, now I don't, you can keep that.

00:01:52.643 --> 00:01:54.359
I'm going to keep that in mind for the next few days.

00:01:54.421 --> 00:01:56.340
That's going to fetch a price on the open market?

00:01:57.605 --> 00:01:58.542
I hope not Awesome.

00:01:58.542 --> 00:01:59.531
Well, shannon, tell us a little bit about you.

00:01:59.531 --> 00:02:00.359
Know what you're doing here right now?

00:02:00.359 --> 00:02:01.364
What are you doing at UTMB?

00:02:01.364 --> 00:02:03.087
What's?

00:02:03.490 --> 00:02:04.319
your work all about?

00:02:04.319 --> 00:02:08.247
Yeah, so my lab has two basic projects.

00:02:08.247 --> 00:02:15.435
The first is we're interested in creating countermeasures for viruses that are transmitted by mosquitoes, so these are viruses like traditionally.

00:02:15.435 --> 00:02:16.340
I've studied what's not a virus.

00:02:16.340 --> 00:02:21.673
This isn't something I do now, but I do study a cousin of her Zika virus and alpha viruses.

00:02:21.673 --> 00:02:23.127
Yeah, we remember that.

00:02:25.566 --> 00:02:28.681
Yeah, 2016 was a fun year for a lot of us, yeah.

00:02:28.681 --> 00:02:40.033
And then there's another virus called Venezuelan equine encephalitis virus and we do a couple of antiviral studies to try to figure out how do we combat that infection once it sets in.

00:02:40.033 --> 00:02:54.360
That's something you don't really hear a lot about, but people who grew up in the 70s, the 80s especially those people that would live in Texas, up and down the Mexico border with Texas, especially around 1971, they would have been very familiar with this.

00:02:54.860 --> 00:02:59.371
Right, Because there were pretty large outbreaks of Venezuelan equine encephalitis at that time.

00:02:59.371 --> 00:02:59.632
Right.

00:03:00.500 --> 00:03:06.360
Yeah, to the point where ranchers really got concerned, and some of the vaccine work that we've done is directly stemmed from those epidemics.

00:03:07.103 --> 00:03:07.403
Yeah.

00:03:08.360 --> 00:03:08.802
It's been pretty quiet.

00:03:08.823 --> 00:03:19.590
We really haven't heard much from the 90s Well correct me if I'm wrong, but it's one of the viruses I always talk about insect-borne pathogens is causing epidemics on a cycle like with West Nile.

00:03:19.590 --> 00:03:26.340
It's a 10-year cycle, like 8-12-year cycle, but with V, with Venezuelan equine encephalitis, it's a longer cycle, right?

00:03:26.340 --> 00:03:30.050
It's like more of like the 15-20-year cycle, Is that right?

00:03:30.400 --> 00:03:34.131
Sort of more or less, and if you look at it that way, we're certainly due for one.

00:03:34.841 --> 00:03:41.360
Right, because the last one would have been the one in Peru which was in the 2000s right.

00:03:41.400 --> 00:03:41.861
Around there.

00:03:42.081 --> 00:03:47.068
I think there was some 2005 or 2006 or something right.

00:03:47.068 --> 00:03:54.360
Yeah, there was a little bit of activity in Mexico, I think last year or the year before, but nothing that really took off to an international concern.

00:03:54.360 --> 00:03:58.008
But you're in the field, your ears perk up and say, wait, what's going on?

00:03:58.008 --> 00:04:06.652
Yeah, so it's something that's always on our radar but it doesn't really reach the national levels that people certainly with Zika they were very familiar about.

00:04:07.400 --> 00:04:15.028
A lot of times when we have things like COVID going on, a lot of other things get missed and things that normally would catch national attention.

00:04:15.028 --> 00:04:19.060
Kind of our ability to absorb that information.

00:04:19.060 --> 00:04:27.401
We just don't have the tolerance for it or the drive to listen to whatever minor outbreaks are happening, because they're so minor in relation to COVID.

00:04:27.401 --> 00:04:30.238
But if COVID wasn't there we would have been thinking they were much bigger maybe.

00:04:30.610 --> 00:04:33.059
Yeah, you can certainly hit virus fatigue Exactly.

00:04:33.059 --> 00:04:35.973
Remember, right after COVID certainly we were all tired.

00:04:35.973 --> 00:04:37.418
We were tired For sure.

00:04:37.418 --> 00:04:39.516
Then you started hearing about monkeypox.

00:04:39.516 --> 00:04:41.235
You go oh my God, what is this?

00:04:41.235 --> 00:04:42.314
We can't do this again.

00:04:42.314 --> 00:04:43.574
We just finished one.

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Can we breathe a little?

00:04:44.613 --> 00:04:47.538
Right, there's always something that pops up on the radar.

00:04:47.538 --> 00:04:49.095
You search, you'll find.

00:04:49.355 --> 00:04:57.810
Yeah, I had a conversation with a colleague who works mostly in East Africa when the Sudan virus cases were cropping up in Uganda.

00:04:57.810 --> 00:05:03.019
She started to get all these questions about it and she said you know, guys, I have time in my life for one pandemic.

00:05:03.019 --> 00:05:06.896
You're right, I think there's that virus fatigue.

00:05:06.896 --> 00:05:15.077
But it's really cool that your lab is working on stuff that right now is not active but we know could become active again.

00:05:15.077 --> 00:05:17.478
Right, how do you keep that narrative going?

00:05:17.478 --> 00:05:21.495
Because I think that's one of those big challenges in science is that we tend to be very reactive.

00:05:22.250 --> 00:05:28.098
All the money, all the funding, all the interest comes like when there's a pandemic or there's an outbreak and we really need to do something about it.

00:05:28.098 --> 00:05:39.017
But in the intervening period, one of the reasons I think we've, at least around here, done pretty well is because we have experts like yourself and others who have been working on some of these viruses even during the quiet times.

00:05:39.017 --> 00:05:44.903
So how do you maintain that energy and keep that in the eyes of, especially, funders?

00:05:44.903 --> 00:05:47.559
How do you write that narrative that this is still important?

00:05:47.889 --> 00:05:50.057
Yeah, and it can be a bit of a tricky balance.

00:05:50.057 --> 00:05:58.358
Right, because you don't want to be reactionary, you don't want to continue to fan the flames per se just to increase the importance of our personal research.

00:05:58.358 --> 00:06:05.815
But a lot of time, unless the research is done before it becomes really critically important, then we're caught flat-footed.

00:06:05.815 --> 00:06:08.959
So like, for example, when Zika hit in 2016,.

00:06:08.959 --> 00:06:20.982
We had these viruses that were sitting around in vials, in the freezer, but there was no real impetus for us to need to study it because it hadn't really done anything of interest to people that pay the bills and are funders.

00:06:20.982 --> 00:06:26.740
So then, when the epidemic hit, they said how is it possible that you know almost nothing about this virus?

00:06:26.740 --> 00:06:36.334
And they said well, we know a little bit of something, but unless the funding is there and the drive like you've identified, matt is there, it can be very difficult.

00:06:36.689 --> 00:07:01.093
So oftentimes you will take a virus that you really are interested in and you will just study it and the answers that you get to questions that you have will drive the next set of questions and you'll just keep going and going until you amass a body of knowledge that other people in the field can ping themselves off of, take it run with it and you never know where your research is going to end up, who is going to be able to benefit from it Years and years down the line.

00:07:01.415 --> 00:07:05.095
Some of the initial studies that were done with Zika were done back in the 50s.

00:07:05.095 --> 00:07:11.815
So we, as researchers in 2016, immediately went to the research and said, oh my God, what's already been done.

00:07:11.815 --> 00:07:17.935
We start pulling things up that were done 60, 70 years prior and said, oh, this is fantastic, we don't have to start from scratch.

00:07:17.935 --> 00:07:21.839
So I think keeping this in mind also can be very important.

00:07:21.839 --> 00:07:26.480
Sometimes, also, the viruses we study can be used as surrogates for other viruses.

00:07:26.480 --> 00:07:40.237
So just because you have studied, let's say, zika in particular, that doesn't mean that there aren't lessons that could be applied to other viruses that other people are interested in really studying and understanding the diseases that they can cause Absolutely.

00:07:40.670 --> 00:08:14.016
Yeah, before we push the record button, we were talking and you were saying some really interesting stuff about places where the viruses could hide and your interest in that, and I found that very interesting because I think people who are out there may not realize that if you have a respiratory virus or you have a vector-borne disease virus like a Zika or a Dengue or whatever sometimes they can infect other parts of the body or they can find areas where the immune system is not quite as robust and that can have effects on whether the virus can actually keep spreading after they're no longer symptomatic.

00:08:14.016 --> 00:08:17.480
Can you say a few things about that and maybe say whether I'm wrong?

00:08:17.889 --> 00:08:19.956
about how I'm describing it because I might be.

00:08:21.129 --> 00:08:22.175
No, you're absolutely right.

00:08:22.175 --> 00:08:29.076
So the second part of what my lab does is we're interested in understanding how viruses can cause testicular infection.

00:08:29.076 --> 00:08:30.160
Thank you, Zika.

00:08:30.470 --> 00:08:46.126
I didn't start off my career wanting to go into this field in particular but this is an example of where the science will take you, and you'll start to amass data and, before you know it, this is the field of research you find yourself in, and it just becomes very interesting.

00:08:46.126 --> 00:09:00.802
So one thing we found during the Zika epidemic is we noticed that people who were traveling from the sites of the epidemic back to countries where there was no epidemic, there was transmission occurring, which is weird If you don't have the mosquitoes.

00:09:00.802 --> 00:09:03.490
We thought there could be no transmission of Zika.

00:09:03.490 --> 00:09:10.563
Well, the more curious you stay and the more questions you ask, the more information you're going to amass.

00:09:10.563 --> 00:09:18.629
And so we started going back into the literature and turns out there was a CDC researcher that had kind of already been experiencing this.

00:09:19.460 --> 00:09:24.051
I'm not going to shout out who, but there's a very interesting story about this too.

00:09:24.051 --> 00:09:37.767
He was doing some research in Senegal, came down with the disease, came back, gave it to his wife Now there were no mosquitoes in Colorado at this time that could vector Zika, but he hadn't been with his wife for a while.

00:09:37.767 --> 00:09:39.687
And so what happens when two people love each other?

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You can see where this is going right.

00:09:41.384 --> 00:09:42.883
So it's transmission.

00:09:42.883 --> 00:09:44.408
How to have occurred somehow?

00:09:44.408 --> 00:09:47.148
So they looked at all of the possible body fluids.

00:09:47.148 --> 00:09:59.607
So you consider saliva, tear, sweat, semen came up and there was the report and I think CNN was talking about this for a while too where Zika could possibly be sexually transmitted.

00:09:59.607 --> 00:10:07.226
When you think about viruses that are transmitted by mosquitoes, sexual transmission is a weird one that doesn't come up on your radar.

00:10:07.226 --> 00:10:11.309
And then you're studying this because it's very interesting.

00:10:11.309 --> 00:10:15.590
It's not something that's supposed to happen, which of course means, oh, we have to study this.

00:10:16.421 --> 00:10:21.750
We have to figure out what's going on here, you start to pull back the curtain and you realize wow, it's not just Zika that does this.

00:10:21.750 --> 00:10:31.325
So, like HIV, mumps, Marburg, Ebola a whole litany of infectious diseases have the capability to go to the testes.

00:10:31.325 --> 00:10:37.384
So even though we study Zika, a lot of the lessons that we're learning here can be applied to other viruses as well.

00:10:37.544 --> 00:10:40.085
Right, and from a technical standpoint.

00:10:40.085 --> 00:10:45.668
I've heard that it's really hard to do any studies involving semen because it's really cytotoxic.

00:10:45.668 --> 00:10:48.168
It's a really hard fluid to work with.

00:10:48.168 --> 00:10:49.759
Is that true or am I just so?

00:10:50.061 --> 00:10:54.691
I haven't had very much experience working with those types of samples.

00:10:54.691 --> 00:11:06.264
Most of what we do is small animal research to understand how does the virus get from, let's say, the side of a mosquito bite to the testes in order to be sexually transmitted or cause damage.

00:11:06.639 --> 00:11:12.750
But you bring up a very interesting point what is the true burden of sexual transmission for a virus like Zika?

00:11:12.750 --> 00:11:14.365
The answer is we don't know.

00:11:14.365 --> 00:11:17.427
We don't know because those samples really don't exist.

00:11:17.427 --> 00:11:23.951
During the epidemic and let's say the SARS, covid pandemic, people kind of in survival mode.

00:11:23.951 --> 00:11:30.164
They're not really thinking about these scientific questions if it doesn't relate to their ability to just get by.

00:11:30.164 --> 00:11:38.961
So oftentimes we don't have the samples that are collected during these periods of epidemics and pandemics to be able to study later that.

00:11:38.961 --> 00:11:45.807
And oftentimes these are not lethal diseases that we're studying, so biopsies usually aren't available.

00:11:45.807 --> 00:11:56.772
So translating what we see, let's say, in a small mouse model which is one of the best models we have, to be able to study this to something that's clinically relevant sometimes can be a challenge.

00:11:56.772 --> 00:11:57.743
Yeah for sure.

00:11:58.279 --> 00:12:10.953
I've heard another investigator who was doing semen studies and the only reason I brought it up is because they said it was really hard to detect it at all in semen, just because there's so many proteases that will destroy the cells that you're working with.

00:12:10.953 --> 00:12:19.226
So you're trying to look for evidence of virus infection, but the sample itself is killing the cells, so it just makes it a little bit more difficult to work with.

00:12:19.226 --> 00:12:29.448
So even if you do have the clinical samples, it can still be really challenging to get the answer to the question you're asking, just because it's not always as easy as collecting samples.

00:12:29.448 --> 00:12:30.812
Yeah, there's technical challenges.

00:12:31.919 --> 00:12:33.706
So what do you look for in the sample that you receive?

00:12:33.706 --> 00:12:41.166
So normally we'll receive a sample and we'll put it onto like a Vero cell monolayer and look for evidence of viral infection.

00:12:41.166 --> 00:12:49.288
This way, sometimes it might be easier just to take that sample and pop open everything that's in it and look for evidence of the nucleic acid of the virus.

00:12:49.288 --> 00:12:52.028
Like with RT-PCR or something like this.

00:12:52.028 --> 00:12:58.384
They measure two very different things Exactly, but sometimes it's easier to detect one than the other, right for sure.

00:12:58.799 --> 00:13:01.129
There's probably strengths and limitations to both approach.

00:13:01.129 --> 00:13:02.524
There always is Yep.

00:13:03.666 --> 00:13:04.048
I love it.

00:13:04.048 --> 00:13:05.350
I found that really interesting.

00:13:05.350 --> 00:13:09.951
I think we'll get back into some of the day-to-day and the day-in-life type stuff.

00:13:09.951 --> 00:13:14.431
What kind of got you into all this, into this world of virology, of science?

00:13:14.431 --> 00:13:21.125
We were talking a little bit beforehand how desperately we need more women representation science, especially in leadership positions.

00:13:21.125 --> 00:13:24.847
Now you have an MBA, so that means you know everything there is to know about business.

00:13:25.424 --> 00:13:26.778
That's exactly what that means.

00:13:26.778 --> 00:13:28.147
But can you say a little bit?

00:13:28.187 --> 00:13:28.307
of.

00:13:28.307 --> 00:13:32.167
Can you talk a little bit about kind of your origin story and what kind of got you into all this work?

00:13:32.379 --> 00:13:33.905
Yeah, but let me turn it around.

00:13:33.905 --> 00:13:38.405
When I was, let's say, six, what do you think I wanted to be when I grew up?

00:13:38.765 --> 00:13:40.448
Let's see, I'm going to date myself.

00:13:40.448 --> 00:13:43.894
I was going to say, like Mighty Mouse, I'm not that old.

00:13:43.894 --> 00:13:45.296
That's a good one, mighty Mouse.

00:13:45.436 --> 00:13:46.638
I mean you're close.

00:13:46.638 --> 00:13:47.879
No, no guesses, Daniel.

00:13:48.620 --> 00:13:53.049
I think I actually know your story, so I can't really guess.

00:13:53.049 --> 00:13:54.312
Was it a tooth fairy?

00:13:54.312 --> 00:13:54.412
I?

00:13:54.432 --> 00:13:56.355
don't want to put magic in it.

00:13:56.375 --> 00:13:56.996
It was a tooth fairy.

00:13:57.057 --> 00:13:57.337
I love it.

00:13:57.337 --> 00:14:06.730
I was convinced when I was really young Because I had a great imagination that I was going to be the tooth fairy when I grew up and it was because you thought there could be viral reservoirs and teeth.

00:14:06.961 --> 00:14:08.184
Oh yeah, I had that for thought.

00:14:08.264 --> 00:14:08.647
Obviously.

00:14:09.500 --> 00:14:15.330
Now she was magical and she got to fly and I just really wanted to fly when I was young, which makes zero sense.

00:14:15.330 --> 00:14:16.806
I think it makes perfect sense.

00:14:17.402 --> 00:14:18.546
I know it's still a lot of fun.

00:14:18.546 --> 00:14:21.388
But I kind of fell into science by attrition.

00:14:21.388 --> 00:14:26.484
I always just like science and I knew I was going to end up somewhere in the sciences.

00:14:26.484 --> 00:14:29.292
It was a school teacher that I had.

00:14:29.292 --> 00:14:31.510
She pushed us really hard.

00:14:31.510 --> 00:14:41.592
It was an AP biology class and I think we were in the 10th grade, 10th or 11th, one of the two and it was just really interesting the things that we would talk about in class.

00:14:41.684 --> 00:14:48.054
I remember thinking for the first time about the immune response and the things that an immune response has to do to keep you healthy.

00:14:48.054 --> 00:14:50.913
Yeah, I'm thinking how the hell does the cell know how to do this?

00:14:50.913 --> 00:14:52.490
It has no brain.

00:14:52.490 --> 00:14:54.292
This is really interesting.

00:14:54.292 --> 00:14:55.409
Oh my God, wait, wait, wait.

00:14:55.409 --> 00:15:00.394
There's more than one kind of immune cell and my teenage mind was absolutely blown.

00:15:00.394 --> 00:15:11.376
So I thought I was going to do something with this and it wasn't until I took an internship over the summer I think it was between my freshman and junior year of college.

00:15:11.826 --> 00:15:20.096
I did an internship at Wyeth Erst, which was in my hometown of Pearl River, new York, and it was for a vaccine branch of their pharmaceutical company.

00:15:20.096 --> 00:15:24.135
We were working on Venezuelan equine encephalitis virus vectors.

00:15:24.135 --> 00:15:26.591
That's kind of where that whole thing started.

00:15:26.591 --> 00:15:30.192
Yeah, and it just was really interesting.

00:15:30.192 --> 00:15:31.554
The virus work.

00:15:31.554 --> 00:15:34.572
Yeah, well, I guess I can do this.

00:15:34.572 --> 00:15:38.975
So I tried it on for a couple of months and it just stuck.

00:15:38.975 --> 00:15:42.575
So I've been here ever since and it's been a fun ride.

00:15:42.575 --> 00:15:50.089
I tried out genetics for a little while microbiology, like I flirted with doing bacterial work, but now a virus is.

00:15:50.089 --> 00:15:51.734
They got my bum apart, yeah.

00:15:52.095 --> 00:15:52.495
I'm stuck.

00:15:52.495 --> 00:16:00.235
That's so funny because I went into science because of my AP biology teacher, so it's so funny how these early influences yeah.

00:16:00.235 --> 00:16:02.996
Do teachers really know that they have such a big impact?

00:16:02.996 --> 00:16:03.578
I don't know.

00:16:03.578 --> 00:16:04.341
I hope so.

00:16:04.341 --> 00:16:04.663
I hope they do?

00:16:04.683 --> 00:16:04.945
I don't know.

00:16:04.985 --> 00:16:06.831
Why don't you tell us, Dr Sweetenham?

00:16:07.010 --> 00:16:08.274
Professor, yeah.

00:16:08.485 --> 00:16:09.835
Do you're having an impact?

00:16:10.017 --> 00:16:10.681
With great power.

00:16:10.681 --> 00:16:12.725
With great power, it becomes great responsibility, it's true.

00:16:12.845 --> 00:16:19.134
I mean, I think you don't always know when you're impacting someone, but sometimes it's just showing up and being interested yourself.

00:16:19.134 --> 00:16:21.153
Do you think you bring that now?

00:16:21.153 --> 00:16:24.965
You have young learners in your lab, you have people coming in and doing internships with you.

00:16:24.965 --> 00:16:26.792
Is that kind of something that you try to bring?

00:16:27.306 --> 00:16:27.928
I try to.

00:16:27.928 --> 00:16:30.394
You would have to ask them if I'm successful.

00:16:30.394 --> 00:16:31.902
I don't want to.

00:16:31.902 --> 00:16:32.585
That's the next episode.

00:16:32.585 --> 00:16:35.114
I rise them right and stay tuned.

00:16:35.605 --> 00:16:37.791
And we've got some of them right behind the curtain.

00:16:37.791 --> 00:16:38.091
I try.

00:16:41.166 --> 00:16:47.101
I think to instill on wonder in someone is really important, especially if you're going to stay in this career for the long haul.

00:16:47.101 --> 00:16:49.472
Right, because it can be very arduous.

00:16:49.472 --> 00:16:55.053
I have so many notebooks in my office that are full of data, most of which are null data.

00:16:55.053 --> 00:17:10.093
Some of the greatest characteristics you can be as a scientist include curious and persistent, because a lot of what we do doesn't work and you have to continue to think about things, try things out, and failure is a great teacher.

00:17:10.093 --> 00:17:16.732
So if you're really not big into failing, you either get used to it or you maybe go do something else.

00:17:16.732 --> 00:17:18.550
So I try to.

00:17:18.550 --> 00:17:28.252
When I talk to, young students say it is one of the coolest things in the entire world to see something for the first time as a person that no one else in the world has ever seen.

00:17:28.252 --> 00:17:30.193
Right, that is really amazing.

00:17:30.415 --> 00:17:36.253
Yeah, and I love what you said about cultivating awe in students, because there's this really interesting.

00:17:36.253 --> 00:17:38.512
She said was it a physicist or an astronomer?

00:17:38.512 --> 00:17:55.875
But her name was Rebecca Elson and she passed away kind of recently, but she was also a poet and she wrote about exactly all the things you're talking about is the scientist's responsibility to honor awe and about the significance of failure in our lives as scientists and how it's a place of inspiration and not discouragement.

00:17:55.875 --> 00:17:58.805
Yeah, that's an incredible way of looking at it.

00:17:58.905 --> 00:18:10.375
I think you have to be in that right ecosystem where people appreciate that actually failure is part of the process, and we're going to just kind of let you keep doing it, work hard, you're on the right path, you're doing the right kind of question.

00:18:10.685 --> 00:18:12.613
Yeah, try not to fail the same way twice.

00:18:12.613 --> 00:18:15.273
Maybe you didn't learn what you were supposed to do the first time.

00:18:15.273 --> 00:18:29.214
But failure is such an integral part of the learning process that if it wasn't for failure, it wouldn't teach you what you are not doing correctly or what you're not looking at in the right way, or maybe it is exactly where you're supposed to be.

00:18:29.214 --> 00:18:31.952
You're just looking at it from the wrong angle, right?

00:18:32.285 --> 00:18:40.034
Yeah, if you decide you're going to do science, you're now doing all this really really cool work, so your day to day not necessarily like well.

00:18:40.034 --> 00:18:41.396
First I respond to emails.

00:18:42.226 --> 00:18:42.589
It does.

00:18:42.589 --> 00:18:43.519
It starts at 5 am.

00:18:43.519 --> 00:18:44.164
Yeah, starts with emails.

00:18:44.164 --> 00:18:44.968
It starts with emails.

00:18:45.724 --> 00:18:53.295
But can you say a little bit about some of the maybe active work that you have, maybe some recent experience you've had, either with success or failure?

00:18:54.625 --> 00:18:57.054
Well, huge success is just finishing up the MBA.

00:18:57.054 --> 00:18:59.586
Congrats, by the way, thank you.

00:18:59.586 --> 00:19:15.856
Speaking of tenacity, I think it's important going back to the curiosity, keep remaining curious, but then realize that you're never going to stop learning Right, and with learning does come a lot of those failures, but sometimes a good success and a good win will keep you sustained for a long time.

00:19:15.856 --> 00:19:19.375
It's been a while since I've done an actual experiment in the lab.

00:19:19.375 --> 00:19:32.978
This is something that I really want to get back into doing, because I do miss for lack of a better way to put it moving pipettes around and being able to design an experiment, see it all the way through and then gather the results and the data at the end of it.

00:19:33.926 --> 00:19:38.837
Now I have a very active program and the people that work alongside with me in my lab.

00:19:38.837 --> 00:19:41.953
They are able to do this, so I'm living vicariously through them.

00:19:41.953 --> 00:19:47.474
Yeah, and it is one of the most satisfying things again when they come up and say, oh my God, look what I found.

00:19:47.474 --> 00:19:48.964
Right, that's amazing.

00:19:48.964 --> 00:19:56.553
But I think when the success has come, you take a hold of them, because sometimes they don't come as often as you want them to.

00:19:56.553 --> 00:19:57.676
Yeah for sure.

00:19:57.676 --> 00:19:59.887
So celebrate it whenever you do get a chance.

00:20:00.319 --> 00:20:10.027
You and I were talking at some point when you were in your MBA and oh yeah, exactly those dark days Was I tired and surly.

00:20:10.027 --> 00:20:11.288
You were just tired, yeah.

00:20:11.308 --> 00:20:12.090
You were never, surly.

00:20:13.279 --> 00:20:19.092
But one of the things you were mentioning was how stimulating it was to be learning alongside different people.

00:20:19.092 --> 00:20:28.285
Yeah, you were always kind of incubated in the science environment and then now you're with some business people or people who had worked in marketing or they worked, you know, they're just in a very different sector.

00:20:28.285 --> 00:20:30.948
Their way of looking at the world was very different.

00:20:30.948 --> 00:20:44.328
And can you say a little bit about what the process of studying this MBA because again, this was your curiosity, right you can maybe tell us a little about what made you want to do that and then what some of your observations were about being part of that learning environment?

00:20:44.710 --> 00:20:49.009
Yeah, and if I don't hit all of the answers to your questions, just remind me of them.

00:20:49.009 --> 00:20:59.461
But my parents when I was younger really instilled in me this love of learning, this deep-seated curiosity and the expectation that if you have it, you're going to seek it out.

00:20:59.461 --> 00:21:07.291
So they were always very encouraging of go ahead and take all those AP classes and if you get a, b, it's okay because you tried.

00:21:07.291 --> 00:21:10.244
You didn't settle for the thing that was the easier A.

00:21:10.244 --> 00:21:19.971
You were striving, you were constantly pushing yourself and you're always trying to make yourself in that realm of being a little bit uncomfortable because that's where the growth occurs?

00:21:20.051 --> 00:21:20.773
Yeah, absolutely.

00:21:20.773 --> 00:21:31.406
It can be very easy for us, especially when we start to get older, to sit back on the things that we're very comfortable with, like, oh, I've done plaque assays, I don't need to learn this new technique.

00:21:31.406 --> 00:21:36.628
A plaque assay will work completely fine and I'm just going to do this until I retire or whatever.

00:21:36.628 --> 00:21:47.751
And so part of that was the reason I decided to get the MBA to challenge myself, to make sure that I still had the capacity to want the drive to learn something completely different.

00:21:47.751 --> 00:21:53.290
But also, the more I started to think about it, the more I realized science is a business.

00:21:53.290 --> 00:21:59.050
When I was younger like grad school days back in the day I thought this was very altruistic.

00:21:59.050 --> 00:22:03.750
If you had a really good question, of course you were going to be able to get funding for it.

00:22:03.750 --> 00:22:11.971
Of course somebody was going to be interested in it, because it's science, it's the pursuit of this knowledge that has nothing to do with our thoughts or feelings.

00:22:11.971 --> 00:22:16.369
So it was noble and it was pure and you should be able to study it for studying its sake.

00:22:16.369 --> 00:22:22.607
Well, the real world isn't quite like that, and someone's going to have to pay the bills at the end of the day.

00:22:23.180 --> 00:22:35.960
I think the first lesson I really learned about this was when I was a graduate student studying how to make a vaccine against West Nile virus, and at that point it was maybe 2006, 2007.

00:22:35.960 --> 00:22:41.119
So we were kind of right off the heels of it emerging in North America in 1999.

00:22:41.119 --> 00:22:42.727
And we were still tracking it every year.

00:22:42.727 --> 00:22:45.288
It was, first and foremost, on a lot of people's minds.

00:22:45.288 --> 00:22:48.640
You go up to an average person on the street and said I study West Nile.

00:22:48.640 --> 00:22:50.104
They were, oh, I know what that is.

00:22:50.104 --> 00:22:50.704
That's important.

00:22:50.704 --> 00:22:51.949
Why don't we have a vaccine?

00:22:51.949 --> 00:22:54.305
Great question why don't we have a vaccine?

00:22:54.305 --> 00:22:56.847
Well, because maybe the market's not quite there for it.

00:22:56.847 --> 00:23:08.165
So once you start to then understand that science isn't necessarily as noble of pursuit as I thought it was and that there's going to be money involved, then that brings the business aspect into it.

00:23:08.165 --> 00:23:16.509
So how is it that you can communicate your idea to be able to get money to study the other things that we need to study because they are of great human importance?

00:23:17.259 --> 00:23:27.488
I thought was something that I needed to augment my learning about, and I did get to meet a lot of really interesting people as part of my MBA class, because some of them were MDs, some of them were marketers.

00:23:27.488 --> 00:23:34.990
There were a couple of CPAs and a lot of them were from oil and gas, because we are situated right next to Houston, texas.

00:23:34.990 --> 00:23:41.944
So it was very good to remind myself that I don't have to sit in my little micro chasm of science all the time.

00:23:41.944 --> 00:23:48.526
There's an entire world of people out there that have different ways of thinking, different interactions with science.

00:23:48.526 --> 00:23:52.507
I'm sure that we had some people and I went through during COVID.

00:23:52.507 --> 00:24:05.866
They were like, oh, covid vaccine, I don't know about that, and I'm over here like, oh, okay, now we're in the realm of like science and policy and everything that I'd never thought I was going to have to become involved in.

00:24:06.279 --> 00:24:10.529
But I'm happy for these conversations because science can't be performed in a vacuum.

00:24:10.529 --> 00:24:18.171
Only some of the science we do is tax funded, so we are beholden to the people that ultimately pay the bills, right.

00:24:18.359 --> 00:24:19.083
That's such a great answer.

00:24:19.083 --> 00:24:20.267
What an adventure.

00:24:20.267 --> 00:24:22.266
What a very cool person you are.

00:24:22.266 --> 00:24:36.212
We're really lucky that you're here and that you're doing the work that you're doing and that you are maintaining an energy and a dedication to this field which I think everybody in the world now knows what a virus is, no matter what.

00:24:36.212 --> 00:24:39.939
They know what a vaccine is, and now we need folks like yourself more than ever.

00:24:39.939 --> 00:24:41.415
So I think that's really great.

00:24:41.415 --> 00:24:43.617
I've really enjoyed getting to talk to you.

00:24:43.617 --> 00:24:56.459
Do you have any final thoughts, like for anybody who might be on the fence about their career, out there, thinking about what they want to do in their life and what they might want to bring into the world, any advice or guidance from Dr Shannon Rossi?

00:24:56.951 --> 00:25:09.219
Oh, I don't know if I'm the best person to give any life advice, but I think if you find what you're good at, what the world needs and what your passion is, you can probably make a really good, fulfilling living from it.

00:25:09.219 --> 00:25:17.038
If science is something that you are interested in, then there are a couple of things that you can do to set yourself up for future success.

00:25:17.038 --> 00:25:19.857
When I was younger, I thought scientists.

00:25:19.857 --> 00:25:28.961
They stayed at the bench, they wore pretty lab coats, they worked in the dark and they moved beakers of colorful liquid back and forth, because this is kind of what popular media shows us scientists do.

00:25:29.151 --> 00:25:30.303
That sounds exactly right.

00:25:30.303 --> 00:25:31.009
That's accurate right.

00:25:31.029 --> 00:25:37.935
Yeah yeah, yeah, with the mood lighting and everything else all the time, our labs are very well lit.

00:25:37.935 --> 00:25:42.434
One thing I didn't appreciate was how much communication there would be in science.

00:25:42.434 --> 00:25:50.086
Right, because the stereotype of a scientist is this loner, geeky person that just kind of is by themselves doing science.

00:25:50.086 --> 00:25:55.155
Yeah, but yet here we are in the podcast closet, talking about how I got to where I am.

00:25:55.155 --> 00:25:58.257
You guys have been doing this for how many episodes now?

00:25:58.257 --> 00:25:59.038
Many, much.

00:25:59.400 --> 00:25:59.820
A lot.

00:25:59.820 --> 00:26:00.442
Ten.

00:26:00.442 --> 00:26:01.816
Our producer has said ten.

00:26:02.170 --> 00:26:03.717
So you're seasoned pros at this point.

00:26:03.717 --> 00:26:10.842
Why did you start off doing this Me, I mean in general because communication is important, right, right, right, right yeah.

00:26:10.842 --> 00:26:18.740
So the ability to articulate your thoughts both in written word but also in speech is really important.

00:26:18.740 --> 00:26:24.472
One of the most critical things I think I did and now looking back in retrospect I'm surprised.

00:26:24.472 --> 00:26:33.999
I had the forethought to do it, but it sounds really good when I tell it in the story Is in college I decided each semester I was going to do something that sucked and something that was fun.

00:26:34.530 --> 00:26:40.079
So for fun, I took beekeeping and I love it and I hope to eventually get back a high on bees one day.

00:26:40.079 --> 00:26:43.721
The thing that sucked was oral speech and debate.

00:26:43.721 --> 00:26:46.538
Oh my god, it was so nerve-wracking.

00:26:46.538 --> 00:27:05.175
But the return on being able to do that back when I had the ability to make a bunch of mistakes and it didn't really impact my career so I could screw up as much as I could and got the comfort to sit in front of a crowd and just say words it was really, really valuable.

00:27:05.609 --> 00:27:12.883
There's a lot of writing, there's a lot of talking and the better you can be at this early on, the easier it's going to be for you later.

00:27:13.104 --> 00:27:13.809
Yeah, definitely.

00:27:13.809 --> 00:27:14.932
I think that's great advice.

00:27:15.253 --> 00:27:15.976
Yeah, that, and travel.

00:27:16.196 --> 00:27:19.396
A lot of travel, a lot of travel, yeah it is all about the teams.

00:27:19.671 --> 00:27:20.713
It's all about the communication.

00:27:20.713 --> 00:27:24.075
That was great messages and sometimes my house.

00:27:24.075 --> 00:27:34.401
We've had a recurrent bee infestation, so next time we have to bring the guys over to excavate the bees, then I'm just going to call them and say, hey, I got a place, you can bring them.

00:27:34.824 --> 00:27:39.096
Yeah, shannon's house, shannon's house, the cats are going to be thrilled Awesome.

00:27:40.230 --> 00:27:41.297
Well, this has been great.

00:27:41.297 --> 00:27:42.423
Any thoughts from you?

00:27:42.423 --> 00:27:43.630
Like the sweet them.

00:27:43.810 --> 00:27:46.115
I think we're good to go Say thank you so much for being here.

00:27:46.115 --> 00:27:46.936
Well, thank you.

00:27:47.097 --> 00:27:47.799
This has been fun.

00:27:47.799 --> 00:27:49.796
Shannon, thank you so much for spending some time with us.

00:27:49.997 --> 00:27:55.472
Thank you both, bye.

00:28:21.631 --> 00:28:27.269
So we'll see you next time for a new episode, and in the meantime, stay happy stay healthy, stay interested.