Max D. Morris is professor of statistics and industrial engineering at Iowa State University. His research addresses the statistical design of experiments, the theory and application of linear statistical models, and the theory and application of Gaussian process models. Recent areas of active research have included factor screening designs, design of spatial sampling plans, and pattern matching algorithms for forensic applications. He has done collaborative work with the scientific staff of Ames Laboratory. Dr. Morris was elected as a fellow of the American Statistical Association in 1994. In 2002, he received the Jerome Sacks Award for Cross-Disciplinary Research from the National Institute of Statistical Sciences. Dr. Morris received a B.S. in mathematics from Oklahoma State University in 1973 and an M.S. (1975) and a Ph.D. (1977) in statistics from Virginia Polytechnic Institute and State University.

Donald W. Murphy, NAE, now retired from Bell Laboratories, Lucent Technologies, was director of the Applied Materials Research Department. He has since been a visiting researcher in the Chemistry Department of the University of California at Davis and an independent consultant. Dr. Murphy’s research interests center on the synthesis of inorganic materials and on energy storage and conversion. A fellow of the American Association for the Advancement of Science and a member of the American Chemical Society, the American Physical Society, and the National Academy of Engineering, Dr. Murphy has also published widely in his field. Dr. Murphy acquired familiarity with chemical agent demilitarization operations through prior service as a member of several NRC committees, including the committee that wrote the 2005 report Monitoring at Chemical Agent Disposal Facilities, which assessed the status and opportunities concerning ambient air monitoring at chemical demilitarization facilities. Dr. Murphy has a B.S. in chemistry from Harvey Mudd College and a Ph.D. in inorganic chemistry from Stanford University.

C. Shane Reese is professor of statistics and associate chair at Brigham Young University. He received his Ph.D. in statistics from Texas A&M University. He is associate editor of the Journal of the American Statistical Association. He also serves as chair of the association Council of Chapters Governing Board and as a member of the ASA Committee on Science and Public Affairs. He has also served as president of the Albuquerque and Utah chapters of the association. At Brigham Young he is a member of the faculty advisory committee (faculty senate) and university athletic advisory committee. Dr. Reese’s research interests include Bayesian hierarchical models, Bayesian design and analysis of computer experiments, and Bayesian reliability and sports statistics. He has served as a member of the National Academy of Sciences Committee on Biological Standoff Detection Systems.

Lorenz R. Rhomberg is a principal at Gradient and an expert in quantitative risk assessment, including dose-response analysis, pharmacokinetic modeling, and probabilistic methods, with special experience in chlorinated solvents and endocrine- active agents. His experience encompasses work relating to a variety of regulatory

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