Description:

Donald B. Rubin is the John L. Loeb Professor of Statistics at Harvard University, where he joined the faculty in 1984. Professor Rubin’s work in causal inference, missing data, matching and applied Bayesian inference essentially defined new fields of statistics. His methods are now embedded in statistical software used by virtually all empirical scientists, and his books “Statistical Analysis with Missing Data,” “Multiple Imputation for Nonresponse in Surveys,” “Matched Sampling for Causal Effects” and “Applied Bayesian Inference” are essential reference works. Professor Rubin’s many honors include the American Statistical Association’s Samuel S. Wilks Memorial Award, the Alexander von Humboldt Foundation’s Humboldt Research Award, the John Wiley and Sons Lifetime Achievement Award in Statistics and Mathematics, and election to the National Academy of Sciences. Professor Rubin earned an A.B. in psychology at Princeton University and an M.S. in computer science and a Ph.D. in statistics at Harvard. He has also received honorary doctorate degrees from Otto Friedrich University, Bamberg, Germany; the University of Ljubljana, Slovenia, and Universidad Santo Tomás, Bogotá, Colombia; as well as honorary professorships from University of Utrecht, The Netherlands; Nanjing University of Science & Technology, Nanjing, China; Xian University of Technology, Xian, China; and Shanghai Finance University, Shanghai, China. This year he will receive an honorary degree from Northwestern University.