I'm a PhD student at Cornell Statistics and Data Science, minoring in Computer Science. I'm advised by Giles Hooker and Martin Wells, and Thorsten Joachims and Rich Caruana are on my committee. Previously, I studied at Berkeley and Columbia, and worked in public policy in NYC, including the health department and public hospitals system.
Broadly, I work on interpretability of machine learning methods. I'm also interested in algorithmic fairness and causal inference. I particularly enjoy working on methods useful for healthcare and public policy.
Please see my website for more info.