My research focuses on the theoretical and algorithmic foundations of neural networks (a.k.a. deep learning). I am interested in mathematically analyzing aspects of expressiveness, optimization and generalization, with the goal of deriving theoretically founded procedures and algorithms that improve practical performance.
Selected Awards
Google Research Scholar Award
Zuckerman Postdoctoral Fellowship
Rothschild Postdoctoral Fellowship
Google Doctoral Fellowship in Machine Learning