About Me

I’m a second year Ph.D. student in the Program in Applied and Computational Mathematics at Princeton University and I am fortunate to be advised by Prof. Jason Lee. I’m currently working on understanding implicit regularization in machine learning and my research interests broadly lie in optimization and machine learning. My research is supported by a National Science Foundation Graduate Research Fellowship.

I did my undergrad at Duke University where I received a B.S. in Mathematics and was fortunate to work with Prof. Cynthia Rudin and Prof. Hau-Tieng Wu.


Note: * denotes equal contributions to the paper.