I am a postdoctoral researcher 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 PhD in Electrical Engineering and Computer Sciences from University of California, Berkeley in 2022. My advisors were Moritz Hardt and Michael I. Jordan. I have been a recipient of a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, and an ICML Best Paper Award.
Previously, I received my BSE in Operations Research and Financial Engineering from Princeton University. I have also spent two wonderful summers interning at Microsoft Research, most recently at MSR New England in 2019.
Updates. (May 2022) I graduated from Berkeley! My dissertation: Social Dynamics of Machine Learning for Decision Making.