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 (e.g., weakly, semi-supervised, and self-supervised) throughout the ML pipeline, particularly through both information-theoretic and geometric lenses.

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 on quantum machine learning with Prof. Elad Hazan and completed junior independent work on modeling misinformation in social networks with Prof. Miklos Racz.

Publications and Preprints