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Dan Cheng is an assistant professor of statistics in the School of Mathematical and Statistical Sciences. He studies statistical inference of random fields and dependent data, image analysis, signal detection, Gaussian random fields, extreme value theory and random matrices.
Ph.D. in Statistics, Michigan State University, 2013
B.S. in Mathematics, Beijing Normal University, 2005