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Michelle Yongmei Wang is an Associate Professor in the Department of Psychology at the University of Illinois. She specializes in quantitative psychology and her research focuses on advancing statistical and mathematical methods applied to psychological studies. With a strong background in machine learning and signal/image processing analysis, she explores the intersections of cognitive psychology, precision medicine, and the cognitive sciences. Her academic journey culminated in a Ph.D. from Yale University, where she honed her expertise in covariance structure models, applied statistics, regression design, and neuroimage analysis. Wang has contributed significantly to her field through teaching courses on statistics, probability, and methods relevant to psychological research, establishing herself as a pivotal figure in quantitative research methodologies within psychology.
University of Illinois • Champaign, IL
Teaching and conducting research in quantitative psychology.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.