About

I am a third year PhD student in the Harvard Statistics Department advised by Lucas Janson. During my PhD I have also been fortunate to work with Ariel Procaccia and Mark Sellke. My research interests lie at the intersection of reinforcement learning, computational social choice, and decision-making under uncertainty. I am particularly interested in understanding how fairness and safety considerations impact statistical learning, and I have previously worked on learning problems in control theory, preference aggregation, and online fair division.

Prior to coming to Harvard, I completed my undergraduate degree at Princeton University in Operations Research and Financial Engineering (ORFE), where I worked with Miklos Racz. After graduating from Princeton, I worked for two years as a quantitative researcher at Radix Trading.