NRC 2010, Vancouver, Canada,  July 27 - 30, 2010
Downtown, Vancouver, Ca
                                                   Photo: courtesy of Peter Jokan
                              Invited Speakers                   

                                                  David Banks
                                                  David Banks is a professor in the Department of Statistical Science at Duke University. His current research
                                                  areas include adversarial risk analysis, syndromic surveillance, dynamic network models, and various appli-
                                                  cations in metabolomics and social science. Before joining Duke in 2003, he spent six years in the federal
                                                  government, working at three different agencies:  the FDA, the DOT, and NIST. Before that, he spent ten
                                                  years in the statistics department at Carnegie Mellon, one year at the Statistical Laboratory at the University
                                                  of Cambridge, and two years as a postdoctoral researcher at Berkeley. He obtained his Ph.D. in 1984 from
                                                  Virginia Tech.
                                                  Isabelle Blain
                                                  Isabelle Blain has served NSERC in various roles since 1998.  Since 2002, she has held the position of
                                                  Vice-President, Research Grants and Scholarships Directorate Natural Sciences and Engineering Research Council
                                                  of Canada (NSERC).  In this position Ms. Blain has direct responsibility for Canada's award programs for
                                                  promoting discovery and the training of highly qualified personnel in the natural sciences and engineering.
                                                  The annual budget for these programs is more than $500 million. She is responsible for the Research Grants
                                                  and Scholarships Directorate, made up of some 100 staff. Her current priorities include the implementation
                                                  of recommendations from or reviews related to the conduct of peer review, as well as the launch of new
                                                  programs in Scholarships and Fellowships.
                                                  Dipak K. Dey
      Dipak K. Dey, is a Board of Trustees Distinguished Professor and Head of the Department of Statistics at the
                                                  University of Connecticut. He received his Ph.D. in Statistics from Purdue University in 1980. He is an elected
                                                  fellow of the American Statistical Association, the Institute of Mathematical Statistics, Connecticut Academy
                                                  of Arts and Sciences and an elected member of the International Statistical Institute. He was the chair of the
                                                  Section on Bayesian Statistical Science of the ASA.  He has published five books/edited volumes and over 180
                                                  refereed journal articles and book chapters in various statistical and interdisciplinary journals. His research area
                                                  includes, statistical methodology and applications involving categorical and longitudinal data, classification and
                                                  clustering, spatio-temporal and survival data analysis. Areas of his research applications include Biometry,
                                                  Bioinformatics, Data mining, Environmetrics, Econometrics, Morphometry, and Population Genetics. He has
                                                  supervised 22 Ph.D. students and has presented more than 150 talks at professional meetings and various departments.

                                                  Michelle Dunn                                                                                                                                                
                                                  Michelle Dunn is a Program Director for statistical methodology grants at the National Cancer Institute.  She
                                                  did her undergraduate studies in Applied Mathematics at Harvard and got a Ph.D. in Statistics from Carnegie
                                                  Mellon University, working with Jay Kadane on the detection of anomalies in web traffic.  Currently, in add-
                                                  ition to her grant-related activities, Michelle works on the Healthy Eating, Activity, and Lifestyle (HEAL)
                                                  study of breast cancer survivors.  Previous research experience includes analyzing the effect of mobility on
                                                  student academic performance with the Pittsburgh Board of Education.  If she had free time, Michelle would
                                                  enjoy cooking, sailing, and traveling around the world.
                                                  John Gabrosek
                                                  John Gabrosek is an associate professor in the Department of Statistics at Grand Valley State University in       
                                                  Allendale, Michigan.  Professor Gabrosek has almost twenty years of teaching experience including three years
                                                  teaching at the high school level.  His research interests include the teaching of statistics at all levels, the applic-
                                                  ation of statistical methodology to sports, and the connection between statistics and other disciplines, especially
                                                  engineering.  He has worked on numerous consulting projects with academicians and industry professionals in
                                                  a variety of settings.  Dr. Gabrosek is the current editor of the Journal of Statistics Education.  He received his
                                                  PhD in statistics from Iowa State University.
                                                  Xuming He
                                                  Xuming He is Professor of Statistics and Affiliated Professor of Computer Science at the University of Illinois
                                                  at Urbana-Champaign. His research spans from basic research in robust statistics and quantile regression to
                                                  applications of statistics to bioinformatics and climate studies. He is Editor of the IMS Bulletin, and serves on the
                                                  editorial boards of Annals of Statistics and JASA. As President of the ICSA, a former Program Director at the
                                                  NSF, advisor to sixteen doctoral students over the past ten years, and elected IMS, ASA and AAAS Fellow,
                                                  Professor He cares deeply about new researchers and the future of our profession.
                                                  Nancy Heckman
                                                  Nancy Heckman, Professor and Head, Statistics Department, University of British Columbia, received her PhD
                                                  in 1982 from the University of Michigan Ann Arbor.  Her original research was in sequential analysis, but has
                                                  since moved to smoothing, functional data analysis, comparing shapes of curves and looking for "bumps" in fun-
                                                  ctions.  Her main current area of application is evolutionary biology, specifically, the evolution of function-valued
                                                  traits and of shapes.  She is an Ordinary Member of the International Statistical Institute and a Fellow of both the
                                                  American Statistical Association and the Institute of Mathematical Statistics.
                                                  Tim Hesterberg
                                                  Dr. Tim Hesterberg is a Senior Statistician at Google.  He previously worked at Insightful (statistical software),
                                                  Franklin & Marshall College, and Pacific Gas & Electric Co.  He received his Ph.D. in Statistics from Stanford
                                                  University, his B.A. from St. Olaf College, and studied at two German universities. Hesterberg is primary author
                                                  of the "S+Resample" package and "Bootstrap Methods and Permutation Tests" (2005). He has given 28 bootstrap
                                                  short courses and workshops in the U.S. and Europe. He is Past-Chair of the Statistical Computing Section of the
                                                  American Statistical Association, and Secretary of the Interface Foundation (Computing Science and Statistics).
                                                  He is a Sierra Club leader, makes water bottle rockets with kids, takes computers to Guatemala, and has a neurotic
                                                  cat. See
                                                  Michael R. Kosorok
                                                  Michael R. Kosorok, PhD, is Professor and Chair of Biostatistics and Professor of Statistics and Operations Research
                                                  at the University of North Carolina at Chapel Hill. His areas of expertise include Biostatistics, Empirical processes,
                                                  Foundations of statistics, Semiparametric inference, the Bootstrap, Survival analysis, Clinical trials, Microarrays,
                                                  Personalized medicine, Cancer, and Cystic fibrosis. He has over 90 peer-reviewed publications and a book with
                                                  Springer-New York entitled "Introduction to Empirical Processes and Semiparametric Inference." He has been an
                                                  Associate Editor for five statistical journals, including the Annals of Statistics. He is an honorary fellow of both the
                                                  American Statistical Association and the Institute of Mathematical Statistics.
                                                  Carl Schwarz
                                                  Carl Schwarz was an Editor of JABES (Journal of Agricultural, Biological, and Environmental Statistics) and is a
                                                  Professor in the Department of Statistics and Actuarial Science at Simon Fraser University, Canada. His research
                                                  interests are in capture-recapture methodology and statistical ecology.
                                                  Michael Steele
                                                  J. Michael Steele is C.F. Koo Professor of Statistics at the Wharton School of the University of Pennsylvania,
                                                  where he has worked for two decades. He is also currently serving as the President of the IMS. Though primarily a
                                                  probabilist, Steele has worked in many parts of statistics and mathematics over the years. He is the author of "Probability
                                                  and Combinatorial Optimization"(SIAM), "Stochastic Calculus and Financial Applications"(Springer), and, most recently,
                                                  "The Cauchy-Schwarz Master Class" (Cambridge University Press). Born in Texas in the first half of the previous
                                                  century, he was educated at Cornell (BA, 1971) and Stanford (Ph.d 1975).
                                                  David Stoffer
                                                  David S. Stoffer is Professor of Statistics at the University of Pittsburgh and Program Director in the Statistics Program at
                                                  the National Science Foundation. He has made several contributions to the analysis of time series and won the 1989
                                                  American Statistical Association Award for Outstanding Statistical Application in a joint paper analyzing categorical time
                                                  series arising in infant sleep-state cycling. He is a fellow of the American Statistical Association and currently serves as a
                                                  Departmental Editor for the Journal of Forecasting and as an Associate Editor for the Annals of the Institute of Statistical
                                                  Suojin Wang
                                                  Dr. Suojin Wang is a Professor of Statistics, Texas A&M University and a Joint Professor of Epidemiology &
                                                  Biostatistics, Texas A&M Health Science Center. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of the
                                                  American Statistical Association and an elected member of the International Statistical Institute. He was also a Texas
                                                  A&M University Faculty Fellow. He is the Editor-in-Chief of Journal of Nonparametric Statistics. He received two major
                                                  teaching awards at Texas A&M University: Distinguished Achievement Award in Teaching, College-level in 1997 and
                                                  University-level in 2005.

                                                 Harrison H. Zhou
                                                 Dr. Zhou is an Associate  Professor in the Department of Statistics at Yale University.  He received his Ph.D. in 2004
                                                 from Cornell University. His research interests are in the statistical decision theory including Le Cam theory, large
                                                 covariance matrices estimation, multiple comparisons, model selection, functional regression and wavelet estimation.
                                                 He serves on the editorial board of the Annals of Statistics. He was a recipient of the NSF Career Award in 2007,
                                                 and the winner of the Noether Young Researcher Scholar Award in 2009.