Department Directory

Bruce Turnbull received the B.S. from Cambridge University in 1967 and the Ph.D. from Cornell University in 1971. After serving on the faculty at Stanford University and at the University of Oxford, he joined Cornell University in 1976, where he is currently Professor in the School of Operations Research and Information Engineering where he previously served as Acting Director.

Paul Velleman is a Professor Emeritus with Social Statistics in the Industrial and Labor Relations School. His research is focused on Distance and Online Learning, Healthcare, abd Statistical Theory, Methods and Analysis. He also does work with Data Analysis, Computer Applications, and Computer Graphics.
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Y. Samuel (Sam) Wang is an assistant professor of statistics and data science. Prior to joining Cornell in 2021, he was a post-doc at the University of Chicago’s Booth School of Business, and he completed his Ph.D. in statistics at the University of Washington. He also previously worked as a management consultant before his Ph.D. studies. His primary research areas are graphical models and causal discovery.

Marten Wegkamp is a professor of statistics and data science. His research areas are mathematical statistics, empirical process theory, high-dimensional statistics, and statistical learning theory. He received a Ph.D. in mathematics from Leiden University in 1996 and joined the Cornell faculty in 2011.

Kilian Weinberger is a professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in machine learning under the supervision of Lawrence Saul, and his undergraduate degree in mathematics and computing from the University of Oxford. In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He is the recipient of the Daniel M. Lazar '29 Excellence in Teaching Award (2016) and the Ann S. Bowers Teaching and Advising Excellence Award (2024). As of 2024, he is an ACM and AAAI fellow and in 2021 became a Blavatnik National Awards Finalist. Since 2024 he has been a member of the Sloan Research Fellowships Selection Committee. Weinberger's research focuses on machine learning and its applications. In particular, he has worked on learning under resource constraints, metric learning, AI in science, computer vision, autonomous vehicles, Gaussian processes, and deep learning. Before joining Cornell University, he was an associate professor at Washington University in St. Louis, and before that, he worked as a research scientist at Yahoo! Research in Santa Clara. 

Martin T. Wells, Ph.D., joined the Cornell faculty in 1987 and is the Charles A. Alexander Professor of Statistical Sciences. He is also a professor of social statistics, professor of biostatistics and epidemiology at Weill Medical School, and an elected member of the Cornell Law School faculty.

Dana Yang is an assistant professor of statistics and data sciences. Prior to joining Cornell in 2022, she completed a Simons-Berkeley fellowship, where she participated in the Computational Complexity of Statistical Inference program at UC Berkeley. Prior to that, she had a stint as a postdoctoral associate at Duke University’s Fuqua School of Business. Yang obtained a B.S. in mathematics from Tsinghua University and earned an M.A. and a Ph.D. in statistics from Yale University.

Xiaolong Yang is a teaching professor and director of the Master of Professional Studies (MPS) program in Data Science and Applied Statistics.