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Tony Cai is the Daniel H. Silberberg Professor in the Department of Statistics and Data Science at the University of Pennsylvania. He has had a distinguished career focusing on statistical machine learning, high-dimensional statistics, and large-scale inference. Cai completed his PhD at Cornell University in 1996 and has been a faculty member at Wharton since 2000. His research contributions include work on functional data analysis, statistical decision theory, and applications in genomics and financial econometrics. He has authored several significant publications and is recognized for his advancements in the field of statistics through various awards and prestigious lectureships. He has served as President-elect, President, and Past President of the Institute of Mathematical Statistics and is an elected Fellow of the American Association for the Advancement of Science as well as the Institute of Mathematical Statistics. Cai's leadership extends to international statistical associations, where he has received numerous accolades for his contributions to the field, including the Noether Distinguished Scholar Award from the American Statistical Association in 2023. His teaching endeavors cover a range of advanced topics in probability and statistics, reflecting his robust expertise in statistical methods and applications.
University of Pennsylvania, Wharton • Philadelphia, PA
Professor in the Department of Statistics and Data Science, specializing in statistical methods.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.