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Yang Ning is an Associate Professor in the Department of Statistics and Data Science at Cornell Bowers University, where he also serves as the Director of Graduate Studies for Statistics and Data Science. His research focuses on developing statistical methods that quantify uncertainty in modern data sets, particularly those characterized by high dimensionality, complexity, and heterogeneity. He has a keen interest in the interface between mathematical statistics, machine learning, and stochastic optimization, and enjoys working on applied projects in fields such as genomics, neuroscience, epidemiology, and clinical trials. Ning has been recognized for his work with prestigious awards, including the NSF CAREER Award and the David Byar Young Investigator Award. His research has been published in leading statistical journals, such as the Annals of Statistics, the Journal of the American Statistical Association, Biometrika, and the Journal of the Royal Statistical Society. Before joining Cornell, Ning completed a postdoctoral fellowship at Princeton University, where he developed statistical methods for analyzing large and complex data. He obtained his bachelor's degree in mathematics from Fudan University in China and his Ph.D. in biostatistics from Johns Hopkins University.
Cornell University • Ithaca, NY
Associate professor in the Department of Statistics and Data Science.
Department of Architecture