Hello, I’m Mayee!

I am a second year PhD student in Computer Science at Stanford University, advised by Prof. Christopher Ré and part of the Hazy Research Lab.

I’m interested in understanding the fundamental theoretical questions behind tools in modern machine learning and using them to develop new practical methods. My current interests revolve around how to evaluate sources of supervision, such as in weakly, semi-supervised, and self-supervised learning, and how to address model misspecification in these settings.

Previously, I graduated summa cum laude from Princeton University in 2019 with a concentration in Operations Research and Financial Engineering (ORFE) and a certificate in Applications of Computing. I worked on my senior thesis with Prof. Elad Hazan and completed junior independent work with Prof. Miklos Racz.

Publications and Preprints