I am a third-year PhD student in Computer Science at University of California, Berkeley, advised by Moritz Hardt and Michael I. Jordan. I am affiliated with RISELab and BAIR. Previously, I obtained my 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.
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 microeconomic theory and high-dimensional statistics.