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Mark Berliner (mb@stat.osu.edu)
Professor, Department of Statistics, The Ohio State University
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Mark Berliner was born in Chicago, Illinois, in 1951 and was raised in the
Chicago area. He received a B.S. in Mathematics with a Minor in Physics in
1974, followed by an M.S. in Statistics in 1976, both from Purdue
University. In 1980 he received a Ph.D. in Statistics, again at Purdue;
his thesis advisor was Professor James Berger.
He joined the Ohio State University Department of Statistics as Assistant
Professor in 1980. He was Visiting Assistant Professor of Statistics at
the University of Michigan in 1984, and became Associate Professor of
Statistics at Ohio State in 1986 and Professor in 1994.
His early research focused on Bayesian statistics, decision theory, and
robust Bayesian analysis. He was also Biostatistician, Ohio State
Comprehensive Cancer Center during 1987-88. In the late 1980s, he began
research on the statistics of chaos and dynamical systems.
Berliner served as Geophysical Statistics Project Leader, 1995-1997,
at the National Center for Atmospheric Research in Boulder, Colorado.
He was appointed Senior Fellow and Project Manager for Numerical Modeling
at the National Institute of Statistical Sciences, Research Triangle Park,
North Carolina, 1997-1999. His current research area is environmental
statistics, focusing on Bayesian analyses in the weather and climate
sciences.
His research activities have been supported by the Office of Naval Research,
the Exxon Educational Foundation, the National Science Foundation, the
National Aeronautics and Space Administration, and the U.S. Environmental
Protection Agency. He has served as Associate Editor, Journal of
the American Statistical Association: Theory and Methods;
Publications Officer, Section on Bayesian Statistical Science, American
Statistical Association; and is currently an Elected Member of the
International Board of Advisors of the International Society for Bayesian
Analysis. He is a Fellow of the American Statistical Association, the
Institute of Mathematical Statistics, and the American Association
for the Advancement of Science.
See also Berliner's web-page.
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Peter Craigmile
(pfc@stat.osu.edu)
Associate Professor, Department of Statistics, The Ohio State
University
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Peter F. Craigmile received a B.Sc. in Mathematics and Statistics from the
University of Glasgow, Scotland, in 1996. He received a Diploma in
Mathematical Statistics from Cambridge University, England in 1997, and a Ph.D. in Statistics from the University of Washington, Seattle
in 2000. He is currently an associate professor in the Department of
Statistics at The Ohio State University, Columbus.
His research interests involve stationary and non-stationary time series
models, long memory processes, spectral analysis, and wavelet methods.
More recently he has started working with geostatistical processes.
Recent applications of his research to scientific areas include
hierarchical Bayesian modeling for human exposures, speech and hearing
sciences, ice-core paleoclimatology, response time data, and online
methods for biosurveillance.
See also Craigmile's web-page.
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Tom Santner
(tjs@stat.osu.edu)
Professor, Department of Statistics, The Ohio State University
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Thomas Santner was born in St. Louis, Missouri in 1947 and was raised
in the Missouri and Ohio areas, graduating as Valedictorian from
Purcell High School in Cincinnati in 1965. He received a B.S. in
Mathematics with a Minor in Computer Science in 1969 from the
University of Dayton, and the M.S. and Ph.D degrees in Statistics in
1971 and 1973, respectively, both from Purdue University. His thesis
adviser was Professor Shanti Gupta. He joined the School of
Operations Research in the Engineering College of Cornell University
in 1973, where he became Professor of Statistics in 1986. He joined
the Ohio State University, Department of Statistics, as Professor and
Director of the OSU Statistical Consulting Service in 1990.
Most recently, his research interests have been in the design and
analysis of computer experiments and the analysis of environmental
data. He has had a long-time
collaboration with members of the Cornell Hospital, Special Surgery
Biomechanics Program, on the engineering design of better prosthetic
devices, which is accomplished, in part, by the use of sophisticated
computer codes. He is also a participant in the
Sources-to-Biomarkers project described on the SSES Research webpage.
Professor Santner is the co-author of three books.
The latest book (with W. Notz and B. Williams) describes strategies to plan
the running of complex computer codes ("computer experiments") and
methodology to analyze the resulting output, depending on the research
goals.
He is past Chair of
the American Statistical Association Council of Sections Governing
Board. He is a Fellow of the American Statistical Association,
the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute.
See also Santner's web-page.
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Christopher Wikle
(wikle@stat.missouri.edu)
Professor, Department of Statistics, University of Missouri,
Columbia
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Christopher K. Wikle obtained BS and MS degrees in Atmospheric Science
from the University of Kansas in 1986 and 1989, respectively. From
1988 to 1991, he worked as an air-pollution consultant, primarily
studying potential environmental impacts of proposed power-generation
facilities. He then obtained an MS in Statistics at Iowa State
University in 1994 and a co-major PhD in both Atmospheric Science and
Statistics at Iowa State University in 1996. From 1996 to 1998 he was
a visiting scientist in the Geophysical Statistics Project at the
National Center for Atmospheric Research in Boulder, Colorado. He is
currently Professor of Statistics at the University of
Missouri, Columbia.
His research interests are in spatio-temporal models, hierarchical
Bayesian methods, the introduction of physical information into
stochastic models, statistical design of environmental monitoring
networks, climate dynamics, turbulence, atmospheric waves, and the
application of statistics to geophysical and environmental processes.
Dr. Wikle is a Fellow of the American Statistical Association.
See also Wikle's web-page.
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