Rubin is among the most accomplished statisticians in the world.

As Indiana University School of Public Health-Bloomington (IUSPH-B) celebrates its 75th year, it also prepares to welcome Donald Rubin, Ph.D. for a series of once-in-a-lifetime conversations. Rubin is an emeritus professor of statistics at Harvard University, one of the most cited scholars in the field of statistics, and an elected member of the National Academy of Sciences. He is perhaps most well known for developing the Rubin causal model, a framework for examining causation in data collected from different kinds of studies.

“Dr. Rubin is one of the most influential statisticians in multiple areas of research,” says Douglas Landsittel, chair of the IUSPH-B Department of Epidemiology and Biostatistics. “His concepts and publications have been critical to advancing the field, and his visit to our school and department is an honor.”

During his visit to the Bloomington campus in late August, Rubin will engage in scheduled conversations with select School of Public Health students, deliver a limited-attendance seminar to be streamed online, and discuss course development with faculty.

“If Professor Rubin had just contributed the EM algorithm, or just introduced potential outcomes theory, or just propensity score analysis, or just developed multiple imputation, any one would have been an extraordinary contribution,” says IUSPH-B Dean David Allison. “He did all four. He is indeed the potentate of potential outcomes.”

Learn more about the IU School of Public Health-Bloomington at publichealth.indiana.edu.