Jun Yang is a PhD candidate in statistics at the University of Toronto, advised by Daniel M. Roy and Jeffrey S. Rosenthal. He received his BEng from Tsinghua University and DEng from the Chinese Academy of Sciences, both in electrical engineering, and later an MSc in applied mathematics from Queen's University in Kingston. His research interests include Bayesian inference, computational statistics, machine learning, time series analysis, probability theory, and information theory.
- Foundations of Machine Learning, Spring 2017. Visiting Graduate Student.