I am a third year PhD student at University of California San Diego advised by Misha Belkin. My research focuses on understanding the generalization behavior of machine learning model classes and their scaling behavior. I have developed an algorithm to scale kernel methods to millions of centers, establishing a state-of-the-art method. In general, I am interested in exploring the depths of machine learning and its applications.