2008 IMS Election Results

Elected Officials Profiles

President Elect

J. Michael Steele

C. F. Koo Professor of Statistics, Wharton School, University of Pennsylvania

Education

Ph.d Stanford University 1975

A.B. Cornell University 1971

Research Interests

Applications of Probability

Financial Time Series

Stochastic Modeling

Inequalities

Previous Service to the Profession

Editor, Annals of Applied Probability (1990-1993)

Associate Editor, Annals of Statistics (1983-1985)

IMS Council Member (2005-2007) and (1988-1991)

IMS Committee to Select Editors, Chair (2002-2004)

Chairman, IMA Special Year on Emerging Applications of Probability (1993-94)

Brief Statement

The past and present purpose of the IMS is to promote the intellectual and practical development of probability and statistics around the world. We do this primarily through our journals and conferences. Going forward we should be keenly attentive to every possibility for high quality extensions of these core activities. The IMS has made great progress in recent years, and our challenge now is to sustain and enhance our core even as we seek and engage new initiatives.

Web

http://www-stat.wharton.upenn.edu/~steele/

Elected Council Members

Peter Hall

Professor, Department of Mathematics and Statistics, University of Melbourne; additionally, Hall has a fractional appointment at the University of California, Davis

Education

DPhil (Oxford, 1976)

MSc (Australian National University, 1976)

BSc (Sydney, 1974)

Research Interests

Theoretical statistics

Applied statistics

Related aspects of probability theory

Previous Service to the Profession

President, Bernoulli Society

President, Australian Mathematical Society

Chair, Scientific Advisory Committee, Australian Mathematical Sciences Institute

Served on advisory boards, review committees and editorial boards, in Australia and other countries, including the Annals of Statistics editorial board since 1982

Served twice previously on IMS Council

Brief Statement

Internationally, the field of statistics is undergoing transformations on a variety of fronts, as it strives to meet the challenges posed by many new applications and new research problems. These opportunities are reinvigorating the subject, but at the same time they are placing it under stress. For example, in a number of countries, conventional university statistics departments are struggling, despite substantial demand from industry, business and government for their graduates. The IMS, and in particular the IMS Council, should grapple with these and other issues that concern the profession.

Bruce G. Lindsay

Willaman Professor and Department Head, Department of Statistics, Pennsylvania State University

Education

Ph.D. 1978 University of Washington

B.A. 1969 University of Oregon

Research Interests

Mixture models

Statistical distances

Clustering and projection pursuit

Computation

Previous Service to the Profession

Associate Editor, Advances in Statistical Analysis, the new journal of the German Statistical Society (since 2006)

IMS Ad Hoc Committee on a new journal (2006)

Associate Editor, Annals of the Institute of Statistical Mathematics (1987-2004)

Chair, Organizing committee for the NSF Workshop on the Future of Statistics in May 2002, and lead editor for the resulting workshop report

Program secretary and member of Executive Council for the Institute of Mathematical Statistics (1997-2000)

Associate Editor, Annals of Statistics (1985-1992 & 1994-1997)

Member of IMS Council (1991-1993 & 1994-1997)

IMS Committee on special invited papers (1993-1995, Chair 1995)

Brief Statement

What might I bring to the IMS Council? As a scholar, I have long appreciated the many opportunities this fine organization provides its members, especially in terms of meetings and publications. I would certainly work to continue and extend, where possible, these activities. I would also bring the perspective of an active department head for a large U.S. department, and thereby some understanding of the evolution of the statistical world, and the needs of its participants.

Michael Newton

Professor, Departments of Statistics and of Biostatistics and Medical Informatics, University of Wisconsin, Madison

Education

BSc 1986, Dalhousie University

MS 1988, University of Washington

PhD 1991 University of Washington

Research Interests

Statistics in molecular biology and genomics

Bayes and empirical Bayes methods

Statistical computing

Previous Service to the Profession

Biological sciences editor, Annals of Applied Statistics (since 2006)

Member, Committee of Applied and Theoretical Statistics, NAS (since 2006)

Member, Savage Thesis Award Committee, ISBA (2004-2006)

Member, Fisher Lecture Committee, COPSS (since 2005)

Associate editor, JASA (2003-2006), Biometrics (1997-2004)

Conference organizer, IMA workshop on statistics in gene expression (2003)

Member, Genome Study Section, National Institutes of Health (2000-2003)

Brief Statement

The IMS connects diverse scientific domains by fostering research into their essential statistical components. I'm interested in supporting IMS activities that maintain the highest publication standards, that continue to push towards open access options, and that help to bring students and young investigators into the field.

Web

http://www.stat.wisc.edu/~newton/

Jane-Ling Wang

Professor, Department of Statistics, University of California at Davis

Education

Ph.D. (1982), Statistics, University of California at Berkeley

M.A. (1978), Mathematics, University of California at Santa Barbara

B.S. (1975), Mathematics, National Taiwan University

Research Interests

Functional Data Analysis

Joint Modeling of Survival and Longitudinal Data

Dimension Reduction Methods

Semiparametric Models

Previous Service to the Profession

Associate Editor, JRSS Ser. B, 2006+

Associate Editor, Journal of Nonparametric Statistics, since 2008

President, International Chinese Statistical Association, 2008

Member, NIH Study Section on Biostatistical Methods and Research Design, 2006+

Member, Life Sciences Committee for the International Institute of Statistics, 2004+

Member, Deming Lecture Committee, American Statistical Association, 2004+

Member, Awards Committee of the International Chinese Statistical Association, 2002-2006

Co-Chair Editor, Statistica Sinica, 2002-2005

Member, IMS Council, 2002- 2005

Member, Fellow Committee, American Statistical Association, 2000-2003

Member, Fellow Committee, Institute of Mathematical Statistics, 2000-2003

Chair, Bernoulli Section of the Program Committee for the 56th Session of the International Statistical Institute, 2007, Lisbon, Portugal

Member, Bernoulli Section of the Program Committee for the 55th Session of the International Statistical Institute, 2005, Sydney, Australia

IMS Program Chair for Joint Statistical Meeting, San Francisco, 2003

Chair of the Organizing Committee, Joint AMS-IMS-SIAM Summer Research Conference on “Emerging Issues in Longitudinal data Analysis”, Mount Holyoke College, 2002

Associate Editor, Sankhya (the Indian Journal of Statistics), 1999-2001

Brief Statement

The IMS has been proactive in promoting science and education through various modes, such as co-sponsoring meetings and journals, offering courses and special lectures in regions with less resources, and advocating open-access to professional information. I support all these activities and will work to enhance and enlarge the scope of them. In particular, it would be desirable to increase and broaden the international contacts of the IMS with other probability and statistics organizations, and to find creative ways to attract more members from around the world.

Web

http://anson.ucdavis.edu/~wang/

Bin Yu

Professor, Department Statistics and Electrical Engineering and Computer Science, University of California at Berkeley

Education

Ph.D. Statistics, UC Berkeley, 1990

M.A. statistics, UC Berkeley, 1987

B.S. Mathematics, Peking Univ., 1984

Research Interests

Statistical Inference

Machine Learning

Information Theory and Minimum Description Length Principle (MDL)

Stochastica modeling of data from Remote Sensing and Atomspheric Science, Sensor Networks, Neuroscience, and Finance

Previous Service to the Profession

Co-Chair, National Advisory Council (Scientific Advisory Board), SAMSI (Statistics and Applied Mathematical Science Institute (NSF-sponsored), 2008-2010.

Member, National Advisory Council, SAMSI, 2006-2008.

IEEE Information Theory Society Board of Governors, (1999-2001; 2002-2004) (elected)

IMS Council, (2001-2004) (elected).

Associate Editor for Annals of Statistics (1998--2000, 2001-2003, 2004-2006)

Associate Editor for Technometrics, (2007 - )

Associate Editor for J. Amer. Statist. Assoc., (2005- )

Action Editor for Journal of Machine Learning Research (2001- )

Associate Editor for Statistica Sinica (1996--1998, 1999-2001, 2005 - 2008)

Associate Editor for Sankhya, (2003-)

Associate Editor for Statistics Survey, (2005- )

Editorial Board Member, Foundations and Trends on Communications and Information Theory, (2003- )

Editorial Board Member, Foundations and Trends on Machine Learning, (2007- )

Guest Co-Editor for the Special Issue on Bioinformatics, Statistica Sinica, 2001

Co-editor of Nonlinear Estimation and Classification, Springer, 2002.

Guest Co-Editor for the Special Issue on Machine Learning, IEEE Transactions on Signal Processing, 2004

IMS Committee on Selection of Editors (2004-2006; Chair, 2006)

IMS Committee on Special Invited Lectures (2001-2003; Chair, 2003)

Chair, program committee, Pau-Lu Hsu Statistics Conference, Peking University, 2007

Chair, IMS program committee, Joint Meeting of CPSP and IMS, Beijing, China, July, 2005

Chair, Program committee, Graybill conference on statistics and information technology, Fort Collins, CO, June, 2005

Brief Statement

IMS's future depends on its young researchers in and outside the US. By organizing conferences and workshops, I intend to encourage young researchers to get involved in interdisciplinary research in areas of importance such as information technology and environmental science. I also intend to encourage core statistical formulations and developments of relevance to interdisciplinary research in these conferences and workshops.

Web

http://www.stat.berkeley.edu/~binyu