Stanley Wasserman earned his B.S. in economics and M.A. in business and applied economics from the University of Pennsylvania in 1973. Upon graduation, he continued his education at Harvard University where he earned his M.A. and Ph.D. in statistics in 1994 and 1997, respectively. Wasserman joined the Departments of Sociology and Psychology at Indiana University (IU) Bloomington in the fall of 2004 as Rudy Professor of Psychology and Sociology. He earned the additional, honorary title of Rudy Professor of Psychological and Brain Sciences and of Sociology. He later earned the title of Rudy Professor of Statistics in 2006. He also has an appointment with the Karl F. Schuessler Institute for Social Research.
Prior to joining the IU faculty, he held faculty positions at Carnegie-Mellon University, the University of Minnesota, and the University of Illinois, in the disciplines of statistics, psychology, and sociology. In addition, at Illinois, he was a part-time faculty member at the Beckman Institute of Advanced Science and Technology, and he has had visiting appointments at Columbia University and the University of Melbourne. In 2005, he helped create the new Department of Statistics in Bloomington and became its first chair in 2006.
Wasserman is best known for his work on statistical models for social networks and his text “Social Network Analysis: Methods and Applications”, co-authored with Katherine Faust. His other books have been published by Sage Publications and Cambridge University Press. He has published widely in sociology, psychology, and statistics journals, and has been elected to a variety of leadership positions in the Classification Society of North America and the American Statistical Association. He teaches courses on applied statistics.
He is a fellow of the Royal Statistical Society, and an honorary fellow of the American Statistical Association and the American Association for the Advancement of Science. He has been an Associate Editor of a variety of statistics and methodological journals, as well as the Book Review Editor of Chance. His research has been supported over the years by NSF, ONR, and NIMH. Wasserman is also the chief scientist of Visible Path Corporation in Foster City, California, a software firm engaged in developing social network analysis for corporate settings.