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Guanyu Hu is an Associate Professor in the Department of Statistics and Probability at Michigan State University. He earned his Ph.D. in Statistics from Florida State University in 2017, and holds both a master's and a bachelor's degree in Statistics from the same institution and Zhongnan University of Economics and Law, respectively. His research interests encompass a range of statistical theories and methodologies, including Bayesian Nonparametric approaches, Spatial Point Processes, Bayesian Computation, Causal Inference, Big Data Inference, and Survival Analysis. In addition to theoretical work, Hu applies statistical methods across various fields, including Sports Analytics, Clinical Trials, Spatial Omics, Spatial Econometrics, and Educational Psychological Measurement. He has been actively involved in professional activities, serving as Chair of the ASA Statistics Sports Section in 2024 and as Program Chair for ISBA-EAC from 2023 to the present. He also holds editorial positions with several statistical journals. Hu has received numerous accolades for his research, including being elected as a member of the International Statistical Institute (ISI) in 2022 and receiving various awards for outstanding research contributions.
Department of Psychology