I am a postdoctoral associate at Cornell University Computer Science, working with Jon Kleinberg, Karen Levy, and Solon Barocas in the Artificial Intelligence, Policy, and Practice (AIPP) initiative. My research examines the theoretical foundations of machine learning and algorithmic decision-making, with a focus on societal impact and welfare.
I obtained my Ph.D. in Electrical Engineering and Computer Sciences from University of California, Berkeley in May 2022, advised by Moritz Hardt and Michael I. Jordan. I received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, and an ICML Best Paper Award.
Previously, I completed my B.S.E. in Operations Research and Financial Engineering at Princeton University. I have also spent two wonderful summers at Microsoft Research, most recently at MSR New England in 2019.