2025 IMS New Researchers Conference

Rebecca Betensky

Dr. Rebecca A. Betensky is a distinguished biostatistician and currently serves as a professor and Chair of the Department of Biostatistic at School of Global Public Health, New York University (NYU). Prior to joining NYU, she was a professor of biostatistics at the Harvard T.H. Chan School of Pu...
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Howard Bondell

Dr. Howard Bondell is a statistician specializing in high-dimensional data analysis, robust estimation, and machine learning. He earned his Ph.D. in Statistics from Rutgers University in 2005 and began his academic career at North Carolina State University’s Department of Statistics. In 2018, Dr...
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Tony Cai

Dr. Tianwen “Tony” Cai is a distinguished statistician, currently serving as the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He earned his Ph.D. from Cornell University in 1996. Throughout his career, Dr. Cai has made signif...
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Kate Calder

Dr. Catherine A. “Kate” Calder is a statistician and data scientist, currently serving as the Chair of the Department of Statistics and Data Sciences at the University of Texas at Austin. She earned her bachelor’s degree in mathematics from Northwestern University in 1999 and completed her Ph.D. ...
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Hani Doss

Dr. Hani Doss is a Professor of Statistics at the University of Florida. He earned his Ph.D. from Stanford University and has held faculty positions at Florida State University and Ohio State University. Dr. Doss’ research interests encompass Markov chain Monte Carlo methods, Bayesian methodolog...
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Jeffrey Morris

Dr. Jeffrey S. Morris is the George S. Pepper Professor of Public Health and Preventive Medicine and serves as the Director of the Division of Biostatistics at Perelman School of Medicine, the University of Pennsylvania. He earned his Ph.D. in Statistics from Texas A&M University in 2000. Dr...
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Rebecca Nugent

Dr. Rebecca Nugent is the Stephen E. and Joyce Fienberg Professor of Statistics & Data Science and the Head of the Statistics & Data Science Department at Carnegie Mellon University (CMU). She also serves as an affiliated faculty member of the Block Center for Technology and Society at CM...
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Kimberly Sellers

Dr. Kimberly F. Sellers a distinguished statistician renowned for her expertise in count data analysis and statistical dispersion. She currently serves as the head of the Department of Statistics at the North Carolina State University (NC State). Dr. Sellers achieved both her bachelor’s and mast...
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Yu Shyr

Dr. Yu Shyr is a biostatistician and data scientist renowned for his contributions to cancer research and quantitative sciences. He holds the Harold L. Moses Chair in Cancer Research at Vanderbilt University Medical Center, where he serves as Chair of the Department of Biostatistics and Professor...
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Ryan Tibshirani

Dr. Ryan Tibshirani is a renowned statistician and machine learning expert, currently serving as a Professor in the Department of Statistics at the University of California, Berkeley. He completed his Ph.D. in Statistics at Stanford University in 2011, following a B.S. in Mathematics from the sam...
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Lan Wang

Dr. Lan Wang is a distinguished statistician known for her contributions to quantile regression, high-dimensional statistical inference, and personalized decision-making. She is currently the Centennial Endowed Chair and Department Chair of Management Science at the Miami Herbert Business School,...
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Bin Yu

Dr. Bin Yu is the Chancellor’s Distinguished Professor and Class of 1936 Second Chair in the Departments of Statistics and Electrical Engineering & Computer Sciences at the University of California, Berkeley. She earned her B.S. in Mathematics from Peking University in 1984 and her M.A. and P...
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Hongtu Zhu

Dr. Hongtu Zhu is a professor in the Department of Biostatistics at the University of North Carolina at Chapel Hill. He earned his Ph.D. in statistics from the Chinese University of Hong Kong in 2000. Dr. Zhu’s expertise spans statistics, medical imaging, genetics, and computational neuroscience....
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