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, and am supported by the NSF Graduate Student Fellowship.
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.