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Guang Cheng is an Adjunct Professor in the Department of Statistics at Purdue University. He specializes in various areas of statistics, including Big Data, High Dimensional Statistical Inferences, Machine Learning, Modern Bayesian Bootstrap Methods, Personalized Medicine, and Semi-Nonparametric Inferences. Cheng has supervised Ph.D. students and has contributed significantly to the field of statistics through his teaching and research efforts. He has served as an Associate Editor for the Electronic Journal of Statistics and the Journal of Statistical Planning and Inference. Cheng has received numerous awards, including the Simons Fellowship in Mathematics, the College of Science Professional Achievement Award, and the National Science Foundation CAREER Award, demonstrating his commitment to advancing statistical methodologies and education.
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