I am an Assistant Professor of Computer Science at UCLA. 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 received my Ph.D. degree in Computer Science from the University of Illinois at Urbana-Champaign in 2014.

Here is my latest CV.

News and Annoucement

  • [March 28, 2020] We just launched a project using machine learning and AI to combat Covid-19!

Recent Research Highlight

Recent Services

  • Area Chair for ICML (2019, 2020, 2021), NeurIPS (2019), ICLR (2020, 2021), AAAI (2020, 2021), IJCAI (2021), AISTATS (2020, 2021)

  • Senior Program Commitee Member for IJCAI (2019, 2020), ACML (2019)


  • AWS Machine Learning Research Award, 2020

  • 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