About Me

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 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, where I did machine learning research with Pieter Abbeel and Aviv Tamar.