Stephen E. Fienberg (NAS) is Maurice Falk University Professor of Statistics and Social Science in the Department of Statistics, the Machine Learning Department, and Cylab at Carnegie Mellon University. A leader in the development of statistical methods for the analysis of multivariate categorical data, he has also worked on the development of statistical methods for large-scale sample surveys and censuses, such as those carried out by the federal government, and on the interrelationships between sample surveys and randomized experiments. His current recent includes technical and policy aspects of privacy and confidentiality. Fienberg has also been active in the application of statistical methods to legal problems and in assessing the appropriateness of statistical testimony ! in actual legal cases, and has linked his interests in Bayesian decision making to the issues of legal decision-making. He is co-chair of the American Judicature Society's Commission on Forensic Science and Public Policy and has served on a broad array of NRC and IOM committees evaluating scientific evidence arising from the social, behavioral, and biomedical science studies. Fienberg holds a Ph.D. in Statistics from Harvard University. He is a member of the National Academy of Sciences and a fellow of the Royal Society of Canada.