Hello, I’m Mayee!

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

I’m interested in using theoretical tools to understand and improve on modern machine learning techniques. Recently, I’ve been focused on data-centric AI, working on understanding the role of data through weak supervision and data selection, in particular for foundation models. I’m also interested in the representation geometry of neural networks and how to induce desirable geometries.

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, where I worked with Prof. Elad Hazan and Prof. Miklos Racz.

Publications and Preprints