Policy + Data + ScienceI work to leverage data science and visualization techniques to answer policy questions. I support increasing data literacy among decision makers and using data to make informed policy decisions. In primarily use use R in my work (and occasionally Python). I am also interested in learning about, and applying, modern techniques such as neural networks and Bayesian statistics. Currently I am a AAAS Science & Technology Policy Fellow working in the U.S. Government.
Previously, as a PhRMA Foundation Regulatory Science Fellow in Regulatory Science and Policy at Sanofi I focused on developing data-driven strategies to inform and support policy positions and to further the field of regulatory science. I covered regulatory topic areas related to antimicrobial resistance, vaccines, opioids, and artificial intelligence. Additionally I helped collect and draft comments for proposed FDA regulations. In my PhD work I used both isolated tissue experimental methods and computational modeling to quantify neuronal control of airways in lung diseases like asthma or after e-cigarette vapor exposure. In my undergraduate work, I studied chemistry, economics, and physics. In my free time I train for full and half marathons, make podcasts, and study Mandarin Chinese. 我会说一点儿中文 |
"We choose to go to the moon in this decade and do the other things, not because they are easy, but because they are hard"
-JFK
-JFK