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 a theoretical lens to improve modern machine learning techniques from the data side of things (what is often referred to as data-centric AI). Recently, I’ve been focusing on problems in data selection, data labeling, and data representations, especially in the setting where there are multiple input signals or objectives. Moving forward, I am particularly excited about developing a more principled understanding of how models learn from data.

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.

Please get in touch with me via email if you would like to chat about research or collaboration!

Publications and Preprints