IMS Elections
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Elected Member Profiles
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2016 IMS Election Results

Elected Officials Profiles

President Elect

Alison Etheridge

Professor, Departments of Mathematics and Statistics, University of Oxford

Education

BA Mathematics, Oxford (1985)

DPhil Mathematics, Oxford (1989)



Research Interests

  • Mathematical models in population genetics and ecology
  • Infinite dimensional stochastic processes
  • Coalescent models

Previous Service to the Profession

  • Council
  • Committee on Special Lectures
  • Associate Editor, Annals of Probability
  • Chair, Scientific Programme Committee IMS/Bernoulli World Congress 2016
  • Council of Bernoulli Society

Brief Statement

I am deeply honoured, and more than a little nervous, to be nominated as IMS President-Elect. This is a golden age for statistics and probability. Serving as the Chair of the Scientific Committee for the 2016 IMS/Bernoulli World Congress in Toronto has really brought home to me the breadth and depth of our discipline. The role that the IMS has played in promoting and developing the field, for example through the excellence of its journals and conferences, should not be underestimated. The greatest asset of the IMS is, of course, its membership, coupled with its highly inclusive culture. Serving on various IMS committees I have seen how effectively we can work together, and so although it is undeniably daunting, I greatly look forward to working with the Executive Committee, the Council and all those who volunteer to serve on IMS committees to sustain and improve still further our activities and contributions to the development of probability and statistics.

Web

http://www.stats.ox.ac.uk/~etheridg/


Elected Council Members

Jean Bertoin

Professor, Institute of Mathematics, University of Zürich

Education

PhD 1987, Paris

Research Interests

  • Probability theory, stochastic processes
  • Stochastic analysis
  • Random structures

Previous Service to the Profession

  • Scientific Committee, MFO Oberwolfach, 2015-present
  • Scientific Committee, Ecole d’été de Saint Flour
  • Managing Editor, Probability Theory and Related Fields, 2005-2010 (jointly with J.-F. Le Gall)
  • Associate Editor, ALEA, 2005-present
  • Associate Editor, Electronic Journal of Probability, 1996-2005
  • Associate Editor, Probability Surveys, 2004-present
  • Associate Editor, Annales de l’Institut Henri Poincaré (Probabilités & Statistics), 2001-2010
  • Associate Editor, Annals of Probability, 2003-2005
  • Chairman of the Committee for Conferences on Stochastic Processes, 2012-2013

Brief Statement

I would be proud to serve the IMS as Council Member. The IMS is a most important actor in promoting Statistics, Probability Theory, and their applications. If elected, I would endeavor to help maintaining the high quality of publications and conferences sponsored by the IMS. I would also promote activities for encouraging and supporting young researchers, especially from less favored countries.

Web

http://www.math.uzh.ch/index.php?professur&key1=6119


Songxi Chen

Professor, Department of Statistics, Iowa State University; University Chair Professor, Center for Statistical Science, Peking University

Education

Bsc in Mathematics, 1983, Beijing Normal University

Msc in Mathematical Statistics, 1988, Beijing Normal University

MSc in Statistics and OR, 1990, Victoria University of Wellington

PhD in Statistics, 1993, Australian National University

Research Interests

  • Air quality Assessment
  • Econometrics
  • Empirical likelihood
  • High Dimensional Multivariate Analysis
  • Inference for Stochastic Processes
  • Population Census

Previous Service to the Profession

  • Associate Editor, The Annals of Statistics, 2010 - present
  • Associate Editor, Journal of Business and Economic Statistics, 2012 - present
  • Board Member of International Chinese Statistical Association, 2010 - 2013
  • Program Committee, IMS Annual Meeting in Montreal, 2016

Brief Statement

I have benefited immensely from being an IMS member of two decades via the very high quality journals, conferences and the platform offered by the IMS. As the society for mathematical statisticians and probabilists, IMS have nurtured generations of statisticians and probabilists, thanks to generations of devoted members. I would think my academic experience in Australia, Asia and the US, and my recent effort in developing statistical science at Peking University, would provide me with the perspectives which would allow me to properly serve IMS members.

Web

http://www.public.iastate.edu/~songchen/


Liza Levina

Professor, Department of Statistics, University of Michigan

Education

B.S. equivalent in Mathematics, St. Petersburg State University, Russia, 1994

M.S. in Mathematics, University of Utah, 1997

Ph.D. in Statistics, U.C. Berkeley, 2002

Research Interests

  • Statistical network analysis
  • High-dimensional data
  • Applications to neuroimaging and spectroscopy

Previous Service to the Profession

  • Associate Editor: The Annals of Statistics (2012 - present); The Electronic Journal of Statistics (2008-15); Journal of Computational and Graphical Statistics (2008 - present); Statistica Sinica (2011-14).
  • Conference Organizing and Program Committees: Workshop on Frontiers of Statistics, 2006; Inaugural Midwest Statistics Colloquium, 2008; Joint Statistical Learning and Data Mining and Biopharmaceutical ASA Sections Meeting, 2012; IMS representative on the ICSA conference program committee, 2013; From Industrial Statistics to Data Science conference, 2015; Isaac Newton Institute Theoretical Foundations for Statistical Network Analysis program, 2016.
  • Committee service: IMS representative for the F.N. David Award Committee, 2004-06; IMS Committee on Nominations, 2013-14; IMS Committee on Editor selection for the Annals of Statistics, 2014-15; Scientific Committee member, MATRIX (Mathematical Research Institute, Melbourne, Australia), 2015-17.
  • Steering Committee of the Association for Computational Learning, 2013-16

Brief Statement

The IMS provides our profession with some of its best and most important journals, conferences, and awards, and maintaining this record of excellence and high standards is a top priority. At the same time, it is important the IMS takes a position of leadership on the shifting role of statistics in the emerging broader culture of data science, and works to improve our visibility and attract young talent to the field. Steps towards this goal might include expanding the recently formed IMS groups, including the data science group, and attracting more students to IMS meetings by sponsoring paper competitions.

Web

http://dept.stat.lsa.umich.edu/~elevina/


Simon Tavaré

Director, Cancer Research UK Cambridge Institute & Professor, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK

Education

1974: BSc Probability and Statistics, University of Sheffield, UK

1975: MSc Probability and Statistics, University of Sheffield, UK

1979: PhD Probability and Statistics, University of Sheffield, UK

Research Interests

  • Stochastic computation, approximate Bayesian computation
  • Statistical and stochastic aspects of cancer evolution, population genetics, molecular evolution
  • Computational biology and bioinformatics
  • Probabilistic combinatorics

Previous Service to the Profession


  • President, London Mathematical Society (2015-2017)
  • Council, Academy of Medical Sciences (2011-2014)
  • Member, IMS Committee on Fellows, 1996-1999
  • Annals of Applied Probability (Associate Editor, 1993 - 1999)
  • Annals of Probability (Associate Editor, 2000 - 2002)
  • Annals of Applied Statistics (Associate Editor, 2007 - 2011)
  • Statistics Surveys (IMS Associate Editor, 2007 - present)
  • Past (11) or present (6) Associate Editor or Editorial Board member for other journals in biological sciences, medicine, probability and statistics

Brief Statement


As a member of Council I will promote the fundamental role of probability and statistics in the rapidly growing field of data science, particularly as it impacts research in the biological and medical sciences. I will support the development of young researchers, and further consideration of ways we might make journal publication quicker while maintaining our aim of excellence.

Web

http://damtp.cam.ac.uk/user/st321


Cun-Hui Zhang

Distinguished Professor, Department of Statistics and Biostatistics, Rutgers University

Education

B.S. (1978), Hainan Mining Institute, China

M.A. (1982), Columbia University

Ph.D. (1984), Columbia University

Research Interests


  • High-dimensional data
  • Empirical Bayes
  • Functional MRI
  • Network data
  • Semiparametric and nonparametric methods
  • Probability theory

Previous Service to the Profession

  • Associate Editor, Annals of Statistics, 1993-1994, 2000-present
  • Associate Editor, Statistical Survey, 2007-present
  • Associate Editor, Statistica Sinica, 1993-2002, 2006-present
  • Associate Editor, Bernoulli, 2016-present
  • Board of Directors, ICSA, 1998-2000
  • IMS committee on special lectures, 2014-present

Brief Statement


It is an honor to be nominated as a candidate for the IMS council. We have the fortune to live in the information age in which our profession is blessed with enormous opportunities to grow and make great impacts. As the standard bearer of conferences and publications of the highest quality in statistics and probability theory, the IMS is uniquely positioned to promote our profession in this exciting environment. If elected, I would work with other members of the council to support this mission. I would support current and new IMS initiatives to enrich our field with new ideas and expand it to fertile new ground, to reach out to potential new members, to encourage collaboration amongst members of diverse interests, and to facilitate the career development of young members. The IMS is the intellectual home of its members, including myself. It would be my pleasure to contribute my efforts to its mission.

Web

http://www.stat.rutgers.edu/home/cunhui/

   
 
 

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