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.

I am very fortunate to have received a couple of awards for my work, including Yahoo! Academic Career Enhancement Award (2015), NSF CAREER Award (2017), Salesforce Deep Learning Research Award (2018), Adobe Data Science Research Award (2018), Simons Berkeley Research Fellowship (2019), and AWS Machine Learning Research Award (2020). Here is my latest CV.

News and Annoucement

Recent Services

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

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

Recent Research Highlight