Deep Learning Applications in Statistical Problems

Instructors

Dr. Hongtu Zhu

Department of Biostatistics, University of North Carolina

Hongtu Zhu is Professor of Biostatistics, Statistics, and Computer Science at the University of North Carolina at Chapel Hill. He earned his PhD in Statistics from the Chinese University of Hong Kong in 2000. He was the chief scientist of statistics in DiDi Chuxing, a tech company. Zhu is particularly noted for his work in neuroimaging data analysis and causal reinforcement learning in two-sided markets and the integration of big data, focusing on secondary data analysis related to e-commerce and neurodegenerative and neuropsychiatric diseases. He is the fellow of IMS and ASA. He also serves as the editor of JASA applications and case studies and the coordinating editor of JASA.

Dr. Xiao Wang

Department of Statistics, Purdue University

Xiao Wang obtained his Ph.D. in Statistics from University of Michigan. He is Head and J.O. Berger and M.E. Bock Professor of Statistics at Purdue University. His research expertise lies at the intersection of modern statistics and AI. Dr. Wang's work has been featured in leading statistical journals and machine learning conferences, and he is a fellow of the Institute of Mathematical Statistics (IMS) and the American Statistical Association (ASA). He also serves as associate editor of Journal of the American Statistical Association, Technometrics, and Lifetime Data Analysis.

Mr. Runpeng Dai

Department of Biostatistics, University of North Carolina

Runpeng Dai obtained his B.S in statistics from Shanghai University of Finance and Economics and is now a PhD candidate in Department of Biostatistics at University of North Carolina at Chapel Hill. His research interest lies in Reinforcement learning, Large language model and spatial-temporal data analysis.