Dr. Pengfei Li

Biography

Professor Pengfei Li's research interests focus on various areas of statistics, including finite mixture models, asymptotic theory, empirical likelihood, inference constraints, experimental design, and smoothing techniques. He is currently particularly interested in hypothesis testing of finite mixture models and the application of inference constraints such as exponential tilting ordering constraints. Additionally, he works on constructing optimal fractional factorial designs and robust designs, as well as the application of smoothing techniques in brain imaging data analysis. Professor Li completed his PhD in Statistics at the University of Waterloo in 2007 and subsequently spent six months at the University of British Columbia as a postdoctoral fellow in 2008. He served as an assistant professor at the University of Alberta for three and a half years before joining the University of Waterloo in January 2012. He also serves as an associate editor for the Canadian Journal of Statistics, contributing to the field through his extensive research and publications in leading statistical journals.

Research Interests

Experience