NRC 2010, Vancouver, Canada, July 27 - 30, 2010
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
http://home.comcast.net/~timhesterberg
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
Mathematics.
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.
