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Michelle Y. Wang is an Associate Professor in the Department of Statistics at Illinois University. She holds a Ph.D. from Yale University and specializes in the application of statistical and mathematical methods in various domains, including psychology and the social sciences. Her research interests extend to biostatistics, quantitative biology, and quantitative methods, focusing on statistical/mathematical methods, machine learning, data mining, and signal imaging processing. In addition to teaching courses related to applied statistics and probability, she is engaged in research on precision medicine and cognitive sciences. Wang’s work emphasizes the integration of computational techniques with traditional statistical methods to advance knowledge in cognitive psychology.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.