Claire Duvallet
data science @ Biobot Analytics | public health data, microbiome, personalized medicine | gender and racial equity in STEM | former Luce Scholar in Cambodia | she/hers
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Finding free places to camp on a US road trip
My parents just bought an RV and asked me to help them find places to camp as they travel. I’m all about finding free campsites not just because it’s a cheap way to see the US, but more importantly because our public lands are a national treasure. Dispersed camping is an amazing way to truly get out in nature, explore beautiful places off the beaten track, and truly benefit from and bask in the natural beauty of the United States. ... Read more
Resources for pivoting to public health data science
About two years into my PhD, I realized that the field I actually wanted to be in was public health, not necessarily biological engineering. Around the same time, I also fell in love with coding and data science. That’s when I realized that combining public health and data science could be an ideal career path for my technical abilities and interests and my desire to have social impact. But immersed in the world of academia, at an institution without a school of public health, and with mentors who had all chosen routes in biotech or academia, it was really hard to learn more about my options for pivoting to a career in public health. ... Read more
Racism as a public health crisis: how wastewater epidemiology fits in
Today is the Strike for Black Lives and a day to #ShutDownSTEM. For white people like me, today is about recognizing and reflecting on the anti-Black racism in our society, and committing to specific actions toward ending white supremacy. One of my actions for today is to publicly reflect on how our work at Biobot Analytics contributes to addressing – and potentially perpetuating – racism in public health. ... Read more
Mapping my cross-country road trip with Python
When I was on my cross-country road trip last year, I kept track of a lot of things in the hopes of doing amazing analyses when I got back. Turns out having a job as a data scientist makes it a lot harder to find time to do data science on the side, and so I’ve only really gotten a chance to look into my expenses. One of the things I had really wanted to do was make a map of all the places I went, but I didn’t actually know how to work with geospatial data in Python yet. I had this grand idea that I’d learn spatial data techniques while on my trip, but turns out hiking, drinking beer while watching the sunset, and going to bed early were way more compelling ways to spend my time. Luckily for me, one of the most fun parts of my new job has been learning geospatial coding and plotting techniques. I’ve been having fun with it in my job, and I realized that it also means I get to finally make my map! ... Read more