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Professor Yi Shen has been part of the Department of Statistics and Actuarial Science at the University of Waterloo since July 2013, initially serving as an assistant professor. He holds a PhD in Operations Research from Cornell University, obtained in 2013, with a focus on applied probability. His research interests center on the understanding of random locations, including the relation to probabilistic symmetries and stochastic processes. He is particularly enthusiastic about problems that involve extreme value theory and ergodic theory, and he explores applications of probability in fields like statistics, physics, and econometrics. Shen has contributed significantly to academic literature, with numerous publications on topics such as aggregated models, self-similar processes, and regression discontinuity designs. Through his work, he aims to advance the theoretical framework of applied probability and its applications.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.