I will start as an Assistant Professor at Cornell Tech and in the Department of Information Science at Cornell University in Fall 2025, and will be admitting PhD students this coming admissions cycle. If you are interested, please apply directly to the program and list my name on your application. Currently I am a postdoc at Stanford HAI and RegLab working with Sanmi Koyejo and Daniel Ho. If you are a current Stanford undergraduate or masters student and want to collaborate, please reach out.
My research interests are in machine learning fairness and algorithmic bias. This problem requires a combination of technical and social considerations, and I work on grounding technical fairness work in the relevant social concerns. My research statement. Some themes I am interested in include evaluation (e.g., ICML 2021, FAccT 2022, AAAI 2023), responsible AI concerns in the world (e.g., JRC 2023, FAccT 2024, AIES 2024), and thinking about fairness through a more socially-grounded lens (e.g., FAccT 2022, draft 2024).
I completed my PhD in Computer Science at Princeton University, advised by Olga Russakovsky. I received the NSF GRFP, EECS Rising Stars, Siebel Scholarship, and Microsoft AI & Society Fellowship. Previously, I have interned with Microsoft Research and Arthur AI, and received a B.S. in Electrical Engineering and Computer Science from UC Berkeley.