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JSM 2011 Keynote Speakers

1 May 2011 3,013 views 2 Comments

IMS Medallion Lecture I

Qi-Man Shao, Hong Kong University of Science and Technology
“Stein’s Method”
July 31, 4:00 p.m.

Qi-Man Shao is a chair professor in the department of mathematics at the Hong Kong University of Science and Technology. He earned a bachelor’s degree in mathematics and a master’s degree in probability/statistics from Hangzhou University and a PhD in probability/statistics from the University of Science and Technology of China under the guidance of Xiru Chen. He is a Fellow of IMS and was an invited speaker at the International Congress of Mathematicians in 2010. His primary research interests include limit theory in probability; large sample theory in statistics; self-normalized large deviation theory; high-dimensional and large-scale statistical analysis; Stein’s method for normal and non-normal approximation; Gaussian random fields, random polynomials, and matrices; and Monte Carlo studies. He serves on the editorial boards of Annals of Applied Probability and Annals of Statistics.

IMS Medallion Lecture II

Jianqing Fan, Princeton University
“A Journey to Ultra-High Dimensional Space”
August 1, 10:30 a.m.

Jianqing Fan is Frederick L. Moore Professor of Finance and director of the Committee of Statistical Studies at Princeton University. After earning his PhD from the University of California at Berkeley, he was appointed assistant, associate, and full professor at The University of North Carolina at Chapel Hill (1989–2003), professor at the University of California at Los Angeles (1997–2000), and professor and chair at the Chinese University of Hong Kong (2000–2003). He is a past president of the Institute of Mathematical Statistics and co-edited The Annals of Statistics, Probability Theory and Related Fields, and Econometrical Journal. His work earned him the 2000 COPSS Presidents’ Award, 2007 Morningside Gold Medal of Applied Mathematics, and Guggenheim Fellow in 2009.

ASA President’s Invited Address

Sir David R. Cox, Nuffield College, Oxford, United Kingdom
“Statistical Analysis: Current Position and Future Prospects”
August 1, 4:00 p.m.

Sir David Cox studied mathematics at St. John’s College, Cambridge and earned his PhD from the University of Leeds in 1949. He was warden of Nuffield College and a member of the department of statistics at Oxford University when he retired in 1994. He has served as president of the Bernoulli Society, Royal Statistical Society, and International Statistical Institute. From 1966 through 1991, he was the editor of Biometrika and has written and coauthored numerous books and papers.

IMS Presidential Address

Peter Hall, The University of Melbourne and University of California, Davis
August 1, 8:00 p.m.

Peter Hall was born in Sydney, Australia, and earned his BSc degree from the University of Sydney in 1974. His MSc and DPhil degrees, both earned in 1976, are from the Australian National University and the University of Oxford. He taught at the University of Melbourne before taking a position at the Australian National University in 1978. In November 2006, he moved back to the University of Melbourne. His research interests span several topics in probability and statistics.

IMS Neyman Lecture

Michael I. Jordan, University of California, Berkeley
“Applied Bayesian Nonparametrics”
August 1, 8:30 a.m.

Michael I. Jordan is the Pehong Chen Distinguished Professor in the department of statistics and department of electrical engineering and computer science at the University of California, Berkeley. His research in recent years has focused on Bayesian nonparametric analysis, probabilistic graphical models, and spectral methods and applications to problems in signal processing, computational biology, and natural language processing. Jordan was named to the National Academy of Sciences and the National Academy of Engineering in 2010. He is a Fellow of the American Association for the Advancement of Science, IMS, ACM, IEEE, AAAI, and ASA.

IMS Medallion Lecture III

Sylvia Richardson, Imperial College
“Recent Developments in Bayesian Methods for Discovering Regression Structures: Applications in the Health Sciences”
August 2, 10:30 a.m.

Sylvia Richardson has held the chair of biostatistics in the department of epidemiology and biostatistics at Imperial College London since 2000 and heads the biostatistics group. After a first degree in mathematics, she earned a PhD in probability theory from the University of Nottingham and a Doctorat Es Sciences from the University of Paris XI. She held lectureship positions at Warwick University and the University of Paris V and subsequently became director of research in the French Research Institute for Medical Research. She was awarded the Guy Medal in Silver from the Royal Statistical Society in 2009 and currently holds a Royal Society Wolfson Research Merit Award for her work on Bayesian integrative analysis in epidemiology, systems biology, and genomics.

IMS Wald Lecture Series: Random Walks from Statistical Physics

Gregory F. Lawler, The University of Chicago
“Random Walks: Simple and Self-Avoiding,” August 2, 4:00 p.m.
“Two Dimensions and Conformal Invariance,” August 3, 2:00 p.m.
“What Do We Know About the Schramm-Loewner Evolution?” August 4, 10:30 a.m.

Greg Lawler has been a professor of mathematics and statistics at The University of Chicago since 2006, having previously held positions at Duke and Cornell universities. He earned his PhD in 1979 from Princeton University under the direction of Edward Nelson. His research is in fine properties of random walk and Brownian motion, with an emphasis on problems arising in statistical physics. His books include Intersections of Random Walks, Introduction to Stochastic Processes, and Random Walk: A Modern Introduction. He has served as editor-in-chief of The Annals of Probability, is a Fellow of the American Academy of Arts and Sciences and the Institute of Mathematical Statistics, and received the 2006 Pólya Prize from the Society for Industrial and Applied Mathematics.

ASA Deming Lecture

Roger W. Hoerl, GE Global Research
“The World Is Calling; Should We Answer?”
August 2, 4:00 p.m.

Roger W. Hoerl is a longtime leader in GE’s renowned Six Sigma initiative. As manager of GE research and development’s applied statistics lab, he collaborates on research projects with GE businesses ranging from NBC and GE Capital to GE Aircraft Engines and GE Power Systems. He has implemented Six Sigma in a wide range of GE processes, from corporate audit to delinquent credit card tracking. A Fellow of both the American Statistical Association and the American Society for Quality (ASQ), he won ASQ’s 2001 Brumbaugh Award for the published paper with the greatest impact on industrial quality control applications. Hoerl has coauthored several books with Ronald Snee, including Statistical Thinking: Improving Business Performance.

ASA Presidential Address

Nancy L. Geller, Office of Biostat Research
“Statistics: An All-Encompassing Discipline”
August 2, 8:00 p.m.

ASA President Nancy Geller is the director of the Office of Biostatistics Research in the National Heart, Lung, and Blood Institute at the National Institutes of Health. A Fellow of the ASA, Geller is a former chair of the Committee on Women in Statistics and Elizabeth Scott Award Committee. She is a former president of the International Society for Clinical Biostatistics and has authored or coauthored many statistical and medical articles. She spent a year as an American Cancer Society scholar at the Royal Free Hospital School of Medicine and also served as acting head of biostatistics at Memorial Sloan-Kettering Cancer Center.

IMS Medallion Lecture IV

Michael A. Newton, University of Wisconsin-Madison
“Connecting Experimental Data on Genes with Functional Information”
August 3, 8:30 a.m.

Michael Newton is professor in the department of statistics and the department of biostatistics and medical informatics at the University of Wisconsin-Madison, where he has worked since earning his PhD in statistics from the University of Washington in 1991. His work is highly cited, especially that on model-based inference in statistical genomics. He enjoys the process by which organized statistical inference emerges from the chaotic interplay of ideas, data, and contextual issues in experimental science and thus devotes much of his time to interdisciplinary research. He was the founding biological sciences editor at the Annals of Applied Statistics. In addition to his research program, he runs a training program in biostatistics.

IMS Medallion Lecture V

Chris Holmes, University of Oxford
“Loss, Actions, Decisions: Bayesian Analysis in High-Throughput Genomics”
August 3, 10:30 a.m.

Chris Holmes is professor of biostatistics in the department of statistics at the University of Oxford, where he also holds joint affiliations with the Wellcome Trust Centre for Human Genetics and the Oxford-Man Institute. He earned his PhD in statistics from the department of mathematics at Imperial College London in 2000 and subsequently held positions in the department as a postdoctoral researcher and lecturer. In 2004, he moved to Oxford. He currently holds a program leader’s award in statistical genomics from the Medical Research Council (MRC), United Kingdom, and serves on the MRC Molecular and Cellular Medicine Board. He received the Research Prize from the Royal Statistical Society in 2003 and the Guy Medal in Bronze in 2009. He is an inaugural associate editor for the Annals of Applied Statistics.

COPSS Fisher Lecture

Jeff Wu
“Post-Fisherian Experimentation: From Physical to Virtual”
August 3, 4:00 p.m.

Jeff Wu’s research contributions span the full range of statistics, from theory to application, and touch many applied domains, from sample surveys to nano-technology. They are notable for their combination of novelty, technical strength, and far-reaching vision. He has made especially significant contributions to experimental design. As one of his supporters wrote, “In view of Professor Wu’s contribution to design of experiments, it is particularly fitting for him to deliver a lecture that honors R. A. Fisher, commonly regarded as father of the modern theory of experimental design.” Read more about Wu in this issue.

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