5747 South Ellis Avenue
Chicago, IL 60637
I am a fourth-year Ph.D. student in the Department of Statistics at the University of Chicago, advised by Professor Nathan Srebro.
I am interested in the statistical foundation of machine learning. With the hope of bridging the gap between the classical statistical learning theory with modern practices in data science, I have been trying to understand how over-parameterized models that memorize the training data (such as a deep neural network) can generalize to unseen data through the prism of implicit regularization and uniform convergence.
Prior to my gradute study, I was an undergraduate student majoring in Applied Mathematics (B.S.) and Staistics (B.S.) at the University of Chicago. I had the pleasure of working with Professor Michael Stein on spatio-temporal modeling of Ozone Monitoring Instrument (OMI) data.