I am a computer science PhD student at Princeton University, advised by Olga Russakovsky. I also work with the Center for Information Technology Policy, and am supported by the NSF Graduate Student Fellowship.
My research interests are in machine learning fairness and algorithmic bias. I organize the Bias in AI reading group and co-organize the RISE (Research Inclusion Social Event) at Princeton. In the summer of 2021 I was a research intern at Microsoft working with the FATE (Fairness, Accountability, Transparency, and Ethics in AI) and Cognitive Services teams.
Previously I finished my undergrad with a major in Electrical Engineering and Computer Science and a minor in Philosophy at UC Berkeley, where I worked on interpretable machine learning methods with Pieter Abbeel and Aviv Tamar.