Academic Positions and Education:

2023--now: Associate Professor, Department of Statistics, University of California, Davis. 

2018--2023: Assistant Professor, Department of Statistics, University of California, Davis. 

2016--2018: Postdoctoral Mentors: Prof. Jianqing Fan and Prof. Han Liu, Department of Operations Research and Financial Engineering, Princeton University. 

2014--2016: Postdoctoral Mentor: Prof. Ming Yuan, Department of Statistics, University of Wisconsin-Madison. 

2010--2014: Ph.D. in Computer Science. Advisor: Prof. Guy Lebanon, Georgia Institute of Technology. 

Visiting Positions:

Aug'22 - Dec'22: Simons Institute for the Theory of Computing, Graph Limits and Processes on Networks program.

Aug'21 - Dec'21: Simons Institute for the Theory of Computing, Geometric Methods in Optimization and Sampling program.

Industry internship:

Jan'11-June'11: NEC Laboratories America (with Dr. Kai Yu and Prof. Tong Zhang)

Conference Organization:

Aug'25: Co-organizing a workshop on Stein's method in stochastic geometry, statistical learning and optimization at Oberwolfach, Germany.

July'23: Co-organized a mini-symposium in XVI International Conference Stochastic Programming, Davis, CA

June'23: Co-organized two mini-symposiums in SIAM Conference on Optimization (OP23), Seattle, WA.

April'22: Co-organized Advances in Stein’s method and its applications in Machine Learning and Optimization workshop at Banff, Canada. 

Editorial Service:

Action Editor: Journal of Machine Learning Research (JMLR) 2023-present.  

Area Chair: ICML 2021-present, COLT 2021-present, AISTATS 2021-present, NeurIPS 2021-present.