My research is in statistical machine learning, with a focus on developing and analyzing nonconvex optimization algorithms for machine learning to understand large-scale, dynamic, complex and heterogeneous data, and building the theoretical foundations of deep learning. I am leading the Statistical Machine Learning Lab.

I am very fortunate to have received a couple of awards for my work, including Yahoo! Academic Career Enhancement Award, NSF CAREER Award, Simons Berkeley Research Fellowship, Salesforce Deep Learning Research Award and Adobe Data Science Research Award.