معرفی
Shui Feng is a Professor in the Department of Mathematics and Statistics at McMaster University. His research focuses on stochastic processes and their applications in ecology, finance, population genetics, and statistical physics, with current work emphasizing Bayesian non-parametrics and measure-valued processes. He holds a PhD in Math and Stats from Carleton University (1993), an MSc in Mathematics from Beijing Normal University (1987), and a BSc in Mathematics from Beijing Normal University (1984).
Research interests include stochastic processes, probability theory, and stochastic models (queueing, simulation). He has published extensively on topics such as Poisson-Dirichlet distributions, large deviation principles, and applications in population genetics and finance.
Teaching responsibilities include advanced courses like Stochastic Processes (STATS 3U03), Intermediate Probability Theory (STATS 4D03/6D03), and Graduate Level Topics in Statistics (STATS 5GT3). Recent publications (2015–2025) explore theoretical advancements in stochastic models and their real-world applications.
