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Mei Wang is a Senior Instructional Professor in the Department of Statistics at the University of Chicago. She serves as the Director of the Statistics MS Program, focusing on innovative teaching and curriculum development. Her research interests are centered around statistical methods and application in various domains, particularly in algorithms related to network and matrix decomposition. Wang has expertise in areas concerning convexity, monotonicity, and smoothness within differential equation systems. Furthermore, her work includes quantum statistical inference and non-commutative probability, as well as developing probabilistic models in the context of biostatistics.
Department of Philosophy