About Me

I am a computer science PhD student at Princeton University, advised by Olga Russakovsky. I also work with Arvind Narayanan at the Center for Information Technology Policy (CITP), and am supported by the NSF Graduate Student Fellowship. I am a 2024 Microsoft Research AI & Society Fellow.

My research interests are in machine learning fairness and algorithmic bias. This problem requires a combination of technical and social considerations to thoughtfully confront, and I work on grounding technical fairness work in the relevant social concerns. My research statement.

I organize the Bias in AI reading group and previously co-organized the RISE (Research Inclusion Social Event) at Princeton. I have helped to organize two workshops on Responsible Computer Vision (at CVPR 2021 and ECCV 2022), and a tutorial on Fairness in Computer Vision at FAccT 2022. I have done summer research internships at Microsoft Research FATE (Fairness, Accountability, Transparency, and Ethics in AI) and Arthur AI.

Previously I finished my undergrad with a major in Electrical Engineering and Computer Science and a minor in Philosophy at UC Berkeley.