I am an Associate Professor of Computer Science at UCLA. I am leading the Statistical Machine Learning Lab. I received my Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign in 2014. My research is in machine learning, with a focus on developing and analyzing nonconvex optimization algorithms for machine learning to understand large-scale, dynamic, complex, and multi-modal data, and build the foundations of deep learning and reinforcement learning. Recently, I use AI to develop next-generation database management systems and empower scientific discovery in domains such as biology, medicine, chemistry, and public health.

Here is my latest CV.

News and Annoucement

Recent Research Highlight

Recent Services

  • Area Chair for ICLR 2023, AISTATS 2023, AAAI 2023


  • Alfred P. Sloan Research Fellowship, 2022

  • JP Morgan Faculty Research Award, 2022

  • IJCAI Early Career Spotlight, 2020

  • AWS Machine Learning Research Award, 2019

  • Simons Berkeley Research Fellowship, 2019

  • Adobe Data Science Research Award, 2018

  • Salesforce Deep Learning Research Award, 2018

  • NSF CAREER Award, 2017

  • Yahoo! Academic Career Enhancement Award, 2015