Stephen E. Fienberg, Ph.D.
Maurice Falk University Professor, Department of Statistics, Carnegie Mellon University
Stephen E. Fienberg is Maurice Falk University Professor of Statistics and Social Science at Carnegie Mellon University, and co-director of the Living Analytics Research Centre (jointly operated by Carnegie Mellon and Singapore Management University), with appointments in the Department of Statistics, the Machine Learning Department, and the Heinz College. He obtained is Ph.D. in Statistics from Harvard University in 1968. He has authored more than 400 publications, including six books, has advised more than 30 Ph.D. students, and can claim more than 80 descendants in his mathematical genealogy. His principal research interests lie in the development of statistical methodology, especially for problems involving categorical variables. Fienberg is a recipient of the COPSS Presidents' Award, an elected member of the National Academy of Sciences, an elected fellow of the Royal Society of Canada, an elected fellow of the American Academy of Arts and Sciences, a fellow of the American Association for the Advancement of Science, a fellow of the American Statistical Association and a winner of its Wilks Award, and a fellow of the Institute of Mathematical Statistics. He is one of the top social statisticians in the world, and is well known for his work in log-linear modeling for categorical data, the statistical analysis of network data, and methodology for disclosure limitation. He has authored and coauthored books on categorical data analysis, US census adjustment, and forensic science. He is a founder and editor-in-chief of the Journal of Privacy and Confidentiality.