Speakers and Session Chairs
Jerome Sacks is director of the National Institute of Statistical Sciences, a member of the Executive Committee of the Board on Mathematical Sciences, a fellow of both the American Statistical Association (ASA) and the Institute of Mathematical Statistics (IMS), and a member of the ASA Office of Scientific and Public Affairs Advisory Committee and Committee on Professional Ethics. He has worked collaboratively in high-technology areas with engineers, computer scientists, chemists, and others in the industrial and scientific community. He has been professor of Statistics and head of the Statistics Department (whose formation he led) at the University of Illinois at Urbana-Champaign, program director for Statistics and Probability at the National Science Foundation, and a member of the Committee on Applied and Theoretical Statistics. He co-chaired the IMS panel that produced the 1988 report Cross Disciplinary Research in the Statistical Sciences.
Jon R. Kettenring is executive director of the Statistics and Economics Research Division of Bellcore, chair of the Committee on Applied and Theoretical Statistics, a fellow of the ASA and American Association for the Advancement of Science (AAAS), and a member of the IMS and International Statistical Institute (ISI). He is on the board of directors of the Interface Foundation and on the board of trustees of the National Institute of Statistical Sciences, is chair of the Management Committee for the Journal on Computational and Graphical Statistics, is former chair of the IMS Subcommittee on Cross-Disciplinary Research, and has been vice president of the ASA. His interests include communications between statisticians and engineers/physical scientists, the use of graphical displays, exploratory data analysis, and methods of cluster analysis.
Peter J. Bickel is professor and Statistics Department chairman and former dean of Physical Sciences at the University of California-Berkeley. He is a member of the National Research Council's Commission on Physical Sciences, Mathematics, and Applications, the Virtual Commission on Forensic Use of DNA Typing, and a former member of the Board on Mathematical Sciences. He is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, a fellow of the ASA, a fellow and former president of the IMS, a fellow of the AAAS, president of the Bernoulli Society, and a member of the Royal Statistical Society, the ISI, and Sigma Xi. He has received the Committee of Presidents of Statistical Societies Award and has been a Wald Memorial Lecturer, a MacArthur Foundation Fellow, a NATO Senior Science Fellow, and a Guggenheim Foundation Fellow. He has served as a consultant to a number of organizations, including the University of California-Berkeley Graduate Division, the Environmental Protection Agency (EPA), the State of California's Department of Human Services, the Nevada State Gaming Control Board, and the Institute for Energy and Environmental Research, and has also served as a member of the NRC's Task Group of the Panel on Amplitudes of Coastal Surges for Hurricanes, the Building Research
Advisory Board's Panel on Mapping Mudslide Insurance Hazard, and the Panel on Applied Mathematics Research Alternatives for the Navy. He currently serves on the board of trustees of the National Institute for Statistical Sciences.
N. Phillip Ross is director of the Environmental Protection Agency's Environmental Statistics and Information Division. He also holds an adjunct appointment with the Department of Mathematics and Statistics at American university. He is an active member of the ASA and past chair of the Section on Environment and Statistics. He represents EPA interests on a number of national and international organizations. He is responsible for EPA statistical policy and is currently directing EPA efforts toward the establishment of a Federal Bureau of Environmental Statistics.
John C. Bailar III is acting director of the Department of Epidemiology and professor of Epidemiology and Biostatistics at McGill University. He is also scholar in residence with the NRC Board on Environmental Studies and Toxicology, and medical scientist with the Division of Clinical Epidemiology at Montreal General Hospital. He is a member of the Institute of Medicine, a fellow of the ASA and AAAS, a member of the Biometric Society and ISI, a member and former president of the Council of Biology Editors, and a member of the Society for Risk Analysis. He is currently a MacArthur Fellow, a member of the New England Journal of Medicine Editorial Board, and the ASA Environmental Statistics Technical Advisory Committee, and has been editor-in-chief of the Journal of the National Cancer Institute. He is a member of the Board of Governors for the Research Triangle Institute and the Board of Trustees of the National Institute of Statistical Science. His research interests include cancer epidemiology, randomized clinical trials, risk assessment and environmental epidemiology, and the development of related statistical methods and theory.
James M. Landwehr is supervisor in the Statistical Models and Methods Research Department at AT&T Bell Laboratories, Murray Hill, N.J. He is a fellow of the ASA and AAAS and a member of the IMS, the Mathematical Association of America, and the National Council of Teachers of Mathematics. He is chair of ASA's Section on Statistical Education, and council representative from ASA's Section on Statistical Graphics. He served as member and vice-chair of the ASA-NCTM Joint Committee on the Curriculum in Statistics and Probability, which led to his role as co-principal investigator in the Quantitative Literacy Project for introducing statistics and probability into middle schools and high schools, and he co-authored two of the QL books. Currently he is a member of the ASA-MAA Joint Committee on Undergraduate Statistics, and he served on the NRC Panel on Non-Standard Mixtures of Distributions. His interests include statistical applications and collaborations, and research on applied statistics methodologies.
H. Jean Thiebaux is a program director at the National Science Foundation in the Division of Mathematical Sciences. She has taught statistics and probability, at both graduate and undergraduate levels, since 1964 at universities in the United States and Canada. Her teaching and research, as well as her own academic preparation, have been largely interdisciplinary with extensive experience and collaboration in the sciences. She was part of the biostatistics program
at Stanford University while she was working for her PhD. She designed an innovative master's program in biostatistics and epidemiology at the University of Massachusetts-Amherst. Following two years as consultant and visiting scientist at the National Center for Atmospheric Research, she spent 10 years on the faculty of the Department of Mathematics, Statistics and Computing Science at Dalhousie University in Canada. She was a full professor and coordinator for an interdepartmental program in atmospheric science prior to her return to the United States to work for NOAA. She is the author of two books on statistical theory and methods, specifically written for use in the ocean and atmospheric sciences. She is a fellow of the Royal Meteorological Society and a member of the ASA and the International Environmetrics Society. Her research interests include statistical modeling and estimation for spatially coherent systems.
John Lehoczky is professor and head of the Department of Statistics at Carnegie Mellon University (CMU). He also serves as Program Coordinator for the department's NIMH Training Program in Psychiatric Statistics and is involved with the CMU Statistical Center for Quality Improvement. He served on the BMS Committee on the Mathematical Sciences in High-Performance Computing and Communication. He is associate editor for the Journal of Real-Time Systems, a fellow of both the ASA and IMS, and a member of ISI, AAAS, IEEE, ACM, The Institute of Management Sciences, and the Operations Research Society of America. His research interests include stochastic processes and their application to computer and communication systems, real-time computer systems, mathematical finance, psychiatric statistics, and industrial statistics.
Joan B. Garfield is associate professor of mathematics and statistics in the General College at the University of Minnesota, where she served as coordinator of research and evaluation from 1982 to 1986. She is a member of the ASA, the International Association for Statistical Education, the Mathematical Association of America, and the American Educational Research Association. She is secretary and newsletter editor for the International Study Group for Research on Learning Probability and Statistics, a member of the Joint Committee on Statistics of the ASA and MAA, and a former member of that committee's Statistics Focus Group. Her research is focused on the teaching and learning of statistics and probability, evaluating the effectiveness of different instructional approaches, and developing assessment instruments to evaluate statistical learning. She writes a regular column describing current research on teaching statistics for the international journal Teaching Statistics, and coauthors (with Laurie Snell) a column on resources for teachers in the new Journal of Statistics Education. She is involved in several NSF-funded statistics education projects.
Carl N. Morris is professor of statistics and professor of medicine at Harvard University. He is a fellow of the ASA, the IMS, and the Royal Statistical Society, and a member of the Biometric Society and the ISI. He has been a member of the Committee on Applied and Theoretical Statistics and the CATS Panel on the Combination of Information, the Board on Physics and Astronomy's Committee on Army Basic Scientific Research, and the NRC Panel on Military Manpower Forecasts for Small Areas. He has served on the ASA Board of Directors and as an IMS Council Member, was executive editor for Statistical Science and also theory and methods editor for the Journal of the American Statistical Association. He worked
on many applied projects at the Rand Corporation, including the Health Insurance Experiment and two other national public policy experiments. He was formerly professor and director of the Center for Statistical Sciences at the University of Texas at Austin. His current interests include hierarchical models, empirical Bayes methods, exponential families, and a wide range of statistical applications, including health policy and sports.
S. Rao Jammalamadaka is professor and chairman of the Department of Statistics and Applied Probability at the University of California-Santa Barbara. He is a fellow of the IMS, the Royal Statistical Society, the Institute of Combinatorics and Applications, and the ASA and is a member of the ISI, the Indian Society for Probability and Statistics, and the Mathematical Association of America. He has held visiting positions at the University of Leeds (United Kingdom), Uppsala University (Sweden), the Indian Statistical Institute and the Indian Institute of Technology, the Chalmers Institute of Technology and Göteborg University (Sweden), and the Australian National University. He is a member of the ASA Committee on International Relations in Statistics and the editorial board for Statistics and Probability Letters and the Journal for Nonparametric Statistics. His interests include nonparametric statistical inference, limit distribution theory and asymptotic efficiencies of test procedures, directional data analysis, goodness of fit tests, and improving the university training of statisticians.
Daniel L. Solomon is professor and, since 1981, head of the Department of Statistics at North Carolina State University. Previously he was professor of biological statistics at Cornell University. He is a fellow of the ASA, and a member of the IMS, the Biometric Society, and the ISI. From 1985 to 1989 he served as editor of Biometrics. He is currently a member of the NRC Committee on National Statistics, and the Panel for Computing and Applied Mathematics, vice chair of the Board of Trustees of the National Institute of Statistical Sciences, and president of the Southern Regional Council on Statistics. He is a member of the ASA Committee on Publications and Committee on Women in Statistics, chairs an ASA task force on new communications technologies, and is the ASA representative to the COPSS Presidents' Award Committee. The NCSU Department of Statistics, which has developed modern instructional and research computing and communications facilities and has been integrating them into its curricula, spearheaded the establishment of the new electronic Journal of Statistics Education . Its graduate programs have long required cross-disciplinary experience, and co-majors may be elected with, say, genetics or economics.
Edward D. Rothman is professor and director of the Center for Statistical Consultation and Research at the University of Michigan-Ann Arbor. He is former chair of the Department of Statistics. He is a member of the ASA and the IMS. He has publications in statistics, genetics, and engineering journals. Much of his current work is in the area of quality. His work in this area has been primarily with W. Edwards Deming.
J. Laurie Snell is professor of mathematics at Dartmouth College. He is a fellow of the IMS and a member of the American Mathematical Society and the Mathematical Association of America. He was a Fine Instructor at Princeton University before joining Dartmouth. His teaching and research have been mainly in probability theory. He started his teaching career
working with John G. Kemeny and Gerald Thompson to develop the course Finite Mathematics for students outside the sciences. He is finishing his teaching career working on the development of a course called Chance as another introductory course for students in all fields.
Prem K. Goel is professor and former chairman of the Department of Statistics at Ohio State University. He has been a member of the Committee on Applied and Theoretical Statistics and CATS' Panel on Combination of Information, a program director for the Statistics and Probability program at the National Science Foundation, and an associate editor for the Journal of the American Statistical Association . He is a fellow of the ASA, the IMS, the Royal Statistical Society, and AAAS. His interests include Bayesian decision analysis, probability modeling and statistical inference for applied problems in engineering and social sciences, and linear models and time-series analysis. During the last five years, he has taken an active part in discussing statistics graduate curriculum issues and is especially concerned with teaching statistics in a synthetic manner, rather than as a collection of techniques. Some of these ideas have been implemented at Ohio State University.
Stephen E. Fienberg is Maurice Falk Professor of Statistics and Social Science at Carnegie Mellon University. He was recently vice president for academic affairs and professor of statistics and law at York University. He has been chairman of the NRC Committee on National Statistics, and chaired its Subcommittee on Data Sharing, the Panel on Statistical Assessments as Evidence in the Courts, and the Panel to Review Evaluation Studies of Bilingual Education. He also served on a number of other NRC committees and panels, including the Panel on Non-Standard Mixtures of Distributions, the Panel on Decennial Census Methodology, and the Committee on DOE Radiation Epidemiological Research Programs. He is currently a member of the Panel on Census Requirements in the Year 2000 and Beyond. He is a fellow and former vice president of the ASA, and a fellow of the IMS, the Royal Statistical Society, and AAAS. He is a member of the Biometric Society, the Psychometric Society, the Statistical Society of Canada, and the ISI and is on the board of directors of the National Institute of Statistical Sciences, the IMS Council, and the ISI Council. He has been coordinating and applications editor for the Journal of the American Statistical Association and a founding co-editor of Chance. His interests include analysis of cross-classified data, statistical inference, federal statistics, statistics and the law, and cognitive aspects of survey design.
Ronald A. Thisted is professor in the Departments of Statistics and of Anesthesia and Critical Care at the University of Chicago. He is a fellow of the ASA and the American Association for the Advancement of Science, and is also a member of the IMS, the Biometric Society, the Association of Computing Machinery, the Association for Health Services Research, and the Society for Clinical Trials. He has been an associate editor of the Journal of the American Statistical Association , the SIAM Journal of Scientific and Statistical Computing, and the ACM Transactions on Mathematical Software. He is currently associate editor (CD-ROM) for the Current Index to Statistics Extended Database. In 1981, the University of Chicago awarded him the Quantrell Award for excellence in undergraduate teaching. His interests include statistical computation, statistical education, biostatistics, clinical trials, and meta-analysis.