2019 Elected Officials

President-Elect

Regina Y. Liu

Distinguished Professor, Department of Statistics, Rutgers, the State University of New Jersey, USA

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Education

  • PhD and M. Phil, Statistics, Columbia University (1983)
  • BS, Applied Mathematics, Soochow University, Taiwan (1975)

Research Interests

  • Fusion learning
  • Confidence distribution
  • Data depth
  • Nonparametric and robust inference
  • Resampling
  • Aviation safety and risk management

Previous Service to the Profession

  • IMS Nominating Committee, Chair /Member, 1992-1993; 2004-2005, 2015-2017
  • IMS Committee of Editors, 2015-2017
  • Committee on Fellows, 2011-2014
  • Program Chair, IMS Program, Vancouver, 2010
  • IMS Special Lectures Committee, Chair/Member, 2005-2008
  • Associate Editor, The Annals of Statistics, 2000-2004
  • IMS Council, Member, 1999-2002
  • Program Chair, IMS Annual Meeting, Boston, 1992

Brief Statement

The IMS is the foremost society in statistics and probability worldwide, and I am deeply honored to be nominated as its President-Elect.  Recent years have witnessed a phenomenal expansion of statistics and probability in all directions of data science. With this success come also many challenges and opportunities, which I hope to address if elected. In its broadest sense, data science interacts with many fields in both science and the humanities, and data science researchers can be widely dispersed in academia, high tech and financial industries, or government agencies. The IMS is ideally positioned to provide a common core and a welcoming home for all, including an effective platform for interactions and dissemination of important advances. Simultaneously, a goal of the IMS should be to raise the profile of the field and to ensure an influx of fresh talent to keep it vibrant and dynamic.


Council

Edwin Perkins

Canada Research Chair in Probability, Department of Mathematics, University of British Columbia, Canada

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Education

  • U. of Toronto, B.Sc., 1975
  • U. of Illinois at Urbana-Champaign, Ph.D., 1979

Research Interests

  • Branching models, measure-valued processes and connections with population genetics and mathematical ecology
  • Stochastic pde
  • Interacting particle systems
  • Stochastic differential equations, Brownian motion and stochastic analysis

Previous Service to the Profession

  • Board of Directors of the Pacific Institute for Mathematical Sciences (1996-2017)
  • Vice-President, Canadian Mathematical Society, 2005-07
  • Committee for Conferences on Stochastic Processes, Bernoulli Society
  • IMS Nomination Committee (two terms)
  • Scientific Panel, Seminar on Stochastic Processes
  • Editorial Boards:
    • Annals of Probability (2012-17)
    • Annals of Applied Probability (1997-99)
    • Probability Theory and Related Fields (1983-1994)
    • Electronic J. Probability and Electronic. Comm. Probability (2002-2011)
    • Ann. Inst. Henri Poincar´e (1994-2016)
    • Can. J. Math. (1994-99)

Brief Statement

I believe that statistics and probability have more to offer each other than many realize, and that continued involvement of both disciplines in the IMS, is one of its strengths. If elected, I will work hard on supporting the laudable, but at times conflicting, goals of building an open access and relevant publication system on one hand, and maintaining a fiscally healthy IMS on the other.


Gesine Reinert

Professor, Department of Statistics, University of Oxford

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Education

  • Diploma, Mathematics, 1989, University of Goettingen
  • PhD, Applied Mathematics, 1994, University of Zürich

Research Interests

  • Probabilistic approximations, in particular Stein’s method
  • Analysis of networks
  • Biological sequence analysis

Previous Service to the Profession

  • Since January 1, 2019: Chair of the Royal Statistical Society Applied Probability Panel
  • Since January 1, 2019: Associate Editor, Bernoulli 
  • Since 2017: IMS journal panel
  • 2017 – 2018: Secretary of the Royal Statistical Society Applied Probability Panel
  • Since 2017: Associate Editor, Journal of Computational Biology
  • Since 2016: Vice-Chair, European Cooperation for Statistics of Network Data Science
  • 2012 – 2018: Associate Editor, Journal of Applied Probability
  • 2012-2017: IMS Nomination Panel
  • 2005-2010: Associate Editor, Bernoulli 

Brief Statement

It would be a great honour to serve on the IMS Council. The IMS is an outstanding professional organisation which embraces change while being rooted in solid scientific foundations.  The area of statistics often develops in a dynamic interplay with application areas and new technological possibilities. To explore such areas, both junior researchers and experienced statisticians are needed. The inclusive approach of the IMS fosters such activities across disciplines and career stages, and it would be a privilege to contribute to this endeavour.


Christian Robert

Professor, Department of Mathematics & Department of Statistics, Universie Paris Dauphine & University of Warwick

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Education

  • PhD (Rouen, France) 1987

Research Interests

  • Bayesian statistics, from foundations to methodology to applications
  • Computational statistics (Monte Carlo methods, MCMC, ABC)

Previous Service to the Profession

  • Member of several IMS committees over the years
  • AE for Annals of Statistics for 13 years

Brief Statement

I am most interested in keeping and promoting the IMS as a diverse and top scientific society representative of all academics in probability, statistics, machine learning, ensuring both preserving the same highest academic standards as throughout its history and leading the data science revolution. This means pursuing novel ways of publishing and assessing research, providing tribunes and support to junior researchers, and guaranteeing an inclusive approach to research and dissemination.


Qi-Man Shao

Chair Professor, Department of Statistics and Data Science, The Southern University of Science and Technology, China

Choh-Ming Li Professor of Statistics, Department of Statistics, The Chinese University of Hong Kong, Hong Kong, SAR

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Education

  • B.S., Mathematics (1983), Hangzhou University, China
  • Ph.D, Probability and Statisitcs (1989), University of Science and Technology of China

Research Interests

  • Asymptotic theory in probability and statistics
  • Self-normalized limit theory
  • Stein’s method for normal and non-normal approximation
  • High-dimensional and large scale statistical analysis

Previous Service to the Profession

  • Associate editor, The Annals of Statistics (2003-2012)
  • Associate editor, The Annals of Applied Probability (2006-2012)
  • Associate editor, Bernoulli (2013- present)
  • IMS Committee on Fellows, Member (2007-2009, 2011), Chair (2009)
  • Member, IMS Committee on Nominations (2011, 2016, 2017)
  • Chairman, Local organizing committee, the 4th IMS Asian Pacific Rim Meeting, 2016
  • Co-chair, Scientific Program Committee, the 5th IMS Asian Pacific Rim Meeting, 2018

Brief Statement

My main area of research is in asymptotic theory in probability and statistics. In Big Data era, data have become the world’s most valuable resource. IMS can play a leading role in accelerating scientific discovery and innovation in data science, promoting basic theoretical research and interdisciplinary collaborations worldwide, and enhancing activities in developing counties. If elected, I will make my contributions to these endeavours.


Alastair Young

Professor of Statistics, Department of Mathematics, Imperial College London

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Education

  • B.Sc. Mathematics and Statistics, University of Edinburgh, 1981
  • Diploma in Mathematical Statistics, University of Cambridge, 1982
  • Ph.D., University of Cambridge, 1987

Research Interests

  • Contemporary nonparametric inference: resampling methods, bootstrap, nonparametric likelihood
  • Approximation methods in statistics
  • Parametric likelihood theory
  • Objective Bayes
  • Selective inference

Previous Service to the Profession

  • 1988-1992 Royal Statistical Society Research Section Committee member
  • 1988-1994 Associate Editor, Journal of Royal Statistical Society, Series B
  • 1994-1998 Joint Editor, Journal of Royal Statistical Society, Series B
  • 1999-date Associate Editor, Biometrika
  • 2008-2012 Associate Editor, Statistica Sinica
  • 2008-2012 Associate Editor, Sankhya, Series A
  • 2010-2012 Chair, Committee of Professors of Statistics, UK and Ireland
  • 2011-2012 Member, RSS Academic Affairs Advisory Group
  • 2012-date Associate Editor, Journal of Statistical Planning and Inference
  • 2012-2013 Chair, Research Section Committee, Royal Statistical Society
  • 2013-date Associate Editor, Computational Statistics and Data Analysis
  • 2014-2017 Honorary Officer, Publications Theme, Royal Statistical Society
  • 2015-date Associate Editor, Bernoulli
  • 2015-date Associate Editor, Econometrics and Statistics
  • 2018-date Associate Editor, Journal of Royal Statistical Society, Series B

Brief Statement

It is a great honor to be nominated for membership of the IMS Council. In the era of data science, it is more important than ever that the statistics and probability community maintains the united focus the IMS offers. The Institute has a long-standing reputation for the excellence of its publications, its meetings, its mentoring of new researchers, especially women, and shaping of the discipline.  Its role and contributions deserve to be broadcast more loudly, especially outside North America.