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Stephen Elliott Fienberg is the Maurice Falk University Professor of Statistics and Social Science in the Department of Statistics, the Machine Learning Department, Heinz College, and Cylab at Carnegie Mellon University.
Born in Toronto, Canada, Fienberg earned a B.Sc. in Mathematics and Statistics from the University of Toronto in 1964, an M.A. in Statistics in 1965, and a Ph.D. in Statistics in 1968 at Harvard University. He has been on the Carnegie Mellon University faculty since 1980, served as Dean of the Dietrich College of Humanities and Social Sciences, and became a U.S. citizen in 1998. 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.
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.
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