About Me

I'm a fifth year PhD candidate in the Department of Computer Science at Princeton University. I'm fortunate to be advised by Sanjeev Arora. My research focuses on machine learning, and deep learning in particular. More specifically, I am interested in explainable AI ( saliency maps, influence functions, data models), generalization, and generative models with a recent interest in appliying saliency to large language models. I received my BSc from Columbia University in 2016 in Operations Research : Financial Engineering and Computer Science, with minors in Applied Math and Economics. I received my MSc at Columbia in 2018 in Machine Learning.

Publications and Manuscripts

* denotes equal contribution