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 received a Microsoft Ada Lovelace Fellowship, an Open Philanthropy AI Fellowship, an NUS Development Grant, 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. (Sep 2022) Our cross-disciplinary study of machine learning in education, Lost in Translation: Reimagining the Machine Learning Life Cycle in Education, is on arXiv.