I am a Staff Applied Scientist at Cohere Health. I completed my PhD in Computational Neuroscience at Princeton University where I studied precision psychiatry, reinforcement learning, and measurement theory.
I develop statistical models for measuring patient health and recommending treatments. In my work, I use a variety of methodological approaches including Bayesian data analysis and decision theory, statistical optimzation, and large-language models.
PhD in Computational Neuroscience, 2023
Princeton University
BA in Psychological & Brain Sciences, 2014
Johns Hopkins University