I am a fourth year PhD student at Stanford University advised by Percy Liang and Tengyu Ma. I work on a variety of topics in machine learning: robustness to distribution shifts, leveraging unlabeled data, and understanding pre-training and fine-tuning.
If you’re a Stanford student interested in these topics, feel free to get in touch!
Before Stanford, I was lucky to have had the chance to work with many wonderful collaborators and advisors: Csaba Szepesvari, Jonathan Uesato, and Pushmeet Kohli on evaluating how safe RL agents are, Avrim Blum and Lin Yang on streaming algorithms for finding convex hulls, Guy Blelloch and Bob Harper on parallel functional arrays, and Ali Eslami, Danilo Rezende, and Murray Shanahan on generative models for modeling correlated videos and 3D scenes.
See my resume for more details on my professional experience. I also use Github and Linkedin.
Ananya Kumar 