I am a fourth-year PhD student in Computer Science at University of California, Berkeley, advised by Moritz Hardt and Michael I. Jordan. My current research investigates the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and welfare. Other interests include microeconomics and high-dimensional statistics.
Previously, I graduated with a BSE in Operations Research and Financial Engineering from Princeton University, where I was fortunate to work with Barbara Engelhardt, Han Liu, and Amit Singer. I have also spent two wonderful summers interning at Microsoft Research: hosted by Urun Dogan and Katja Hofmann in the Reinforcement Learning Group at MSR Cambridge in 2016, and hosted by Christian Borgs, Jennifer Chayes, and Adam Tauman Kalai at MSR-NE in 2019.
News | We are organizing a virtual workshop at NeurIPS 2020 on Consequential Decision Making in Dynamic Environments!