- Machine Learning
- Bayesian Inference
- Time Series Analysis
- Computational Statistics
- Probability Theory
- Information Theory
I am a Ph.D candidate in statistics at University of Toronto, advised by Daniel M. Roy and Jeffrey S. Rosenthal.
Before coming to Toronto, I got my B.Eng from Tsinghua University, D.Eng from Chinese Academy of Sciences, both in electrical engineering, and later a M.Sc. in applied mathematics from Queen's University in Kingston, advised by Fady Alajaji and Glen Takahara.
I am grateful to be partly supported by Alexander Graham Bell Canada Graduate Scholarship (CGS D).
Teaching Assistant at University of Toronto
Link to the full list.
Non-work page (under construction).