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2015 Ballot
 
 
   
   
 

2015 Nominees

President Elect Nominee

Jon Wellner

Professor, Department of Statistics, University of Washington

Education

1968: BS Math and Physics, University of Idaho

1975: PhD Statistics, University of Washington



Research Interests

  • Semiparametric models
  • Empirical process theory
  • Large sample theory
  • Statistical inference for models with shape constraints

Previous Service to the Profession

  • IMS Program Secretary: 1994-1997
  • IMS Council: 2007-2010
  • IMS Fellows Committee: 1990-1992
  • IMS Nominating Committee: 1998-2000 (Chair, 1999)
  • IMS Committee to Select New Editors: 2008
  • IMS Finance Committee: 2007-2010
  • IMS Committee on Special Lectures: 2001-2003; 2011-2013
  • Editor, Annals of Statistics: 2001-2003
  • Editor, Statistics Surveys: 2007-2009
  • Editor, Statistical Science: 2011-2013

Brief Statement

The IMS plays a key role as an international society devoted to promotion and development of statistics and probability by way of its journals, conferences, and various honors and awards. I have served the IMS in several editorial and committee roles in the past, and I am deeply honored to be nominated as IMS President-Elect. I look forward to continuing to serve the IMS in this new role with the support and energy of the Executive Committee, the Council, and all the volunteers serving on IMS committees. The past leadership of the IMS has worked hard to sustain and improve the high quality and excellence of its conferences, journals, and related activities. I believe that the IMS is in an excellent position, and by working together we can maintain and continue to improve the quality of the IMS’s contributions to the development probability and statistics.

Web

http://www.stat.washington.edu/jaw/


Council Nominees

Rami Atar

Professor, Department of Electrical Engineering, Technion – Israel Institute of Technology

Education

B.Sc., Technion 1989

M.Sc., Technion, 1994

Ph.D., Technion, 1997

Research Interests

  • Diffusion and large deviation asymptotics of stochastic networks
  • Stochastic control and games
  • Probability and PDE

Previous Service to the Profession

  • Mathematical Methods of Operations Research, Associate Editor 2008–2014
  • Annals of Applied Probability, Associate Editor 2009–2012
  • Queueing Systems, Associate Editor 2010–2013
  • Mathematics of Operations Research, Associate Editor 2010–2013
  • Annals of Probability, Associate Editor 2012-

Brief Statement

The journals and scientific meetings of the IMS do an excellent job serving the probability and statistics communities. I would like to support the effort to keep their standards high. I would also work toward maintaining and strengthening support to young researchers and students. Close to my heart is the interaction between theoretical and applied research within these disciplines, which I am committed to promote.

Web

http://webee.technion.ac.il/people/atar/


Andreas Buja

Liem Sioe Liong/First Pacific Company Professor of Statistics, Statistics Department, The Wharton School, University of Pennsylvania

Education

Diploma, Swiss Federal Inst. of Technology (ETHZ), 1975

Ph.D., Swiss Federal Inst. of Technology (ETHZ), 1980

Research Interests

  • Post-selection inference in the context of reproducibility
  • Data visualization and associated statistical inference
  • Dimension reduction, in particular multidimensional scaling

Previous Service to the Profession

  • Founding committee member: Journal of Computational and Graphical Statistics (JCGS)
  • Editor: JCGS (1997-2000)
  • Co-organizer of workshops on data visualization (1986, 1989, 1997)
  • Associated editor: SJSSC, AOS, JCGS, JASA
  • Reviewer: KDD (2004), Visualization (1992-1998, IEEE & ACM/SIGGRAPH)

Brief Statement

The IMS plays a central role in establishing and maintaining the highest standards for the development of statistical theory, methodology and application. Dedicated to this goal, one of my top priorities will be to work toward wider recognition of the reproducibility problem within statistics research. Enabled by computing technology, much is done to data that is not accounted for by statistical inference. Statistics must create the protocols that allow the empirical sciences to generate justifiably qualified knowledge. A larger debate of holistic protocols for data analysis is needed to assure the future success of the empirical sciences.

Web

http://stat.wharton.upenn.edu/~buja/


Gerda Claeskens

Professor, ORSTAT and Leuven Statistics Research Center, KU Leuven, Belgium

Education

PhD Mathematics (Statistics), Hasselt University, Belgium, 1999

 

Research Interests

  • Model selection and model averaging
  • Non- and semiparametric models, estimation and testing

Previous Service to the Profession


  • Associate editor, The Annals of Statistics, since 2013
  • Associate editor, Biometrika, since 2008
  • Associate editor, Journal of Nonparametric Statistics, since 2008
  • Associate editor, Journal of Statistical Planning and Inference, since 2012
  • Associate editor, Journal of the American Statistical Association, 2005-2011
  • Guest editor for Computational Statistics and Data Analysis (2011-2012), special issue on Model Selection
  • Member of the European Regional Committee of the Bernoulli Society, 2008–2012
  • Member of the Scientific committee for the “28th European Meeting of Statisticians” in Piraeus, Greece

Brief Statement

It is an honor to have been nominated for council member. The IMS plays an important role in disseminating research results in statistics and probability via international meetings and through the publication of high-quality journals. It is important to keep supporting scientific meetings worldwide to stimulate discussions and contacts between researchers, to make young people enthusiastic about the profession. Some of the exciting challenges that the IMS faces are a rapidly changing environment where research is performed in interdisciplinary teams, and high demands for an efficient publication process.

Web

http://perswww.kuleuven.be/gerda_claeskens


Nancy Heckman

Professor and Head, Department of Statistics, University of British Columbia

Education

B.S. (1977), Tufts University

M.A. (1982), University of Michigan, Ann Arbor

Ph.D. (1982), University of Michigan, Ann Arbor


Research Interests

  • Functional data analysis
  • Nonparametric regression
  • Applications to evolutionary biology

Previous Service to the Profession


  • Statistical Society of Canada – Centre de Recherches Mathématiques Awards Committee (2013-16)
  • Pacific Institute of Mathematical Sciences Steering Committee (2009-)
  • Head, Statistics Department, UBC (2008-)
  • Fisher Lecture Awards Committee, COPSS (2011-13)
  • Statistical Society of Canada Awards Committee (2011-14)
  • IMS Statistics Fellows Committee (2011)
  • COPSS Award Committee (2005-07)
  • Local arrangements committee, IMS New Researchers Conference (2010)
  • Local arrangements committee, Statistical Society of Canada Annual Meeting (2009)
  • Statistical Society of Canada Program Chair, Annual Meeting (1996)
  • Associate Editorships: Annals of Statistics (1992-95), Canadian Journal of Statistics (1995-2003), Journal of the American Statistical Association, (2002-04)

Brief Statement

I would be proud and honored to serve the IMS. As a member of Council, I would seek ways to promote the objectives of the IMS by taking advantage of the current widespread recognition of the importance of data science. The IMS is well placed to pursue exciting new opportunities here, with its strong membership base that spans the increasingly blurred boundaries between statistics, probability and computer science. In addition, I would work to ensure that the IMS community continues to support and encourage all individuals, especially females and young researchers.

Web

http://www.stat.ubc.ca/~nancy


Fernando Quintana

Profesor Titular, Departamento de Estadística, Pontificia Universidad Católica de Chile

Education

PhD Statistics, University of Wisconsin-Madison, 1994




Research Interests

  • Nonparametric Bayesian Statistics
  • Random Partition Models
  • Biostatistics

Previous Service to the Profession


  • ISBA Board Member (2004-2007)
  • Associate Editor for Bayesian Analysis (2007-2009)
  • Associate Editor for Brazilian Journal of Probability and Statistics (2012-2014)
  • Associate Editor for Biometrics (2013-current)

Brief Statement


If elected, I will concentrate my efforts in activities that promote the growth of IMS, especially in Latin America.

Web

http://www.mat.uc.cl/~quintana


Kavita Ramanan

Professor, Division of Applied Mathematics, Brown University

Education

1992 B. Tech. in Engineering, IIT Mumbai, India

1993 Masters in Applied Mathematics, Brown University

1998, PhD in Applied Mathematics, Brown University



Research Interests

  • Probability theory, stochastic processes and their applications
  • Large deviations and concentration of measure
  • Gibbs measures and phase transitions
  • Stochastic analysis
  • Stochastic networks and their scaling limits

Previous Service to the Profession

  • Associate Editor: Annals of Probability (2006--2012); Annals of Applied Probability (2009--); Mathematics of Operations Research (2007--); Queueing Systems (2008--); Stochastic Analysis and Applications (2002--2012)
  • Various IMS Committees including the Nominations Committee (2011--2012) and Committee on Special Lectures (2014--)
  • AMS and Bernoulli Society Nominations Committee (2014--)
  • SMAI (French Applied Math Society), Member of Scientific Council
  • Prize Committees: (i) INFORMS George Nicholson Prize (2013-2014, chair 2014); (ii) APS Erlang Prize (2014-2016, chair 2015)
  • Scientific committee of various conference series, including: (i) "Committee for the Conferences on Stochastic Processes" (2010--); (ii) "Seminar on Stochastic Processes" (2014--); (iii) "Stochastic Networks" (2008--present)
  • Organizer/co-organizer of several conferences including: the Applied Probability meeting in Stockholm (2011); ICERM semester program on Computational challenges in Probability, Providence (Fall 2013); the IMI Meeting on "Limit Theorems in Probability" in Bangalore (Jan 2013)

Brief Statement

I am honored to have been nominated as a candidate for the IMS Council. This is an exciting era for probability and statistics, with significant advances in both theory and applications. If elected to the council, I would continue to support the IMS in its mission to maintain the highest standards for its publications. I would also help foster interaction between probability, statistics, and other mathematical and scientific disciplines, and take measures to improve public understanding of the importance of these fields. I would strongly encourage meetings and other activities that support young researchers from around the world.

Web

http://www.dam.brown.edu/people/ramanan/index.htm


Philippe Rigollet

Assistant Professor, Department of Mathematics, Massachusetts Institute of Technology

Education

B.Sc in Statistics, Paris Institute for Statistics (ISUP), 2002

B.Sc in Applied Mathematics, University of Paris VI, 2003

M.Sc in Statistics, University of Paris VI, 2003

Ph.D. in Mathematics, University of Paris VI, 2006

Research Interests

  • High-dimensonal Statistics
  • Machine Learning
  • Aggregation and model selection
  • Computational Statistics

Previous Service to the Profession

  • Associate Editor for Bernoulli, 2013-2016
  • Associate Editor for Journal of Statistical Planning and Inference, 2012-15
  • Associate Editor for Statistical Inference for Stochastic Processes, 2015-16
  • Steering Committee of the Association for Computational Learning, 2013-16

Brief Statement

It is an exciting time for all of us. The IMS has always been committed to academic excellence in probability and statistics, theory and applications. More than ever, interactions, collaborations and training are key to finding solutions to the new challenges coming from industry and other scientific disciplines. If elected, I am committed to continuing the IMS tradition of excellence in publications and meetings while embracing these new opportunities. I am also committed to supporting interactions not only between its core disciplines, probability and statistics, but also with other connected fields: computer science, mathematics and more broadly life sciences.

Web

http://www-math.mit.edu/~rigollet/


Ming Yuan

Professor, Department of Statistics, University of Wisconsin at Madison

Education

PhD, 2004, University of Wisconsin at Madison




Research Interests

  • High dimensional data analysis
  • Nonparametric methods
  • Statistical learning
  • Optimization

Previous Service to the Profession

  • Associate Editor, Journal of the Royal Statistical Society – Series B, 2012-present
  • Associate Editor, The Annals of Statistics, 2010-present
  • Associate Editor, Electronic Journal of Statistics, 2010-present
  • Associate Editor, Biometrics, 2008-2012
  • Area Editor/Senior Program Committee, AISTATS 2010/ AISTATS 2015

Brief Statement

I am honored to be an IMS council nominee. I joined the IMS when I was a graduate student and have benefited tremendously from the various programs and opportunities offered by the IMS throughout my career. If given the opportunity, I would be privileged to serve the IMS and help to preserve its great tradition of guiding and promoting our profession particularly amid the explosion of its popularity.

Web

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


Chunming Zhang

Professor, Department of Statistics, University of Wisconsin-Madison

Education

Ph.D., Statistics, 2000, University of North Carolina–Chapel Hill

M.S., Computational Mathematics, 1993, Academia Sinica, Beijing, China

B.S., Mathematical Statistics, 1990, Nankai University, Tianjin, China

Research Interests

  • Neuroinformatics and bioinformatics
  • Machine learning & data mining
  • Multiple testing; large-scale simultaneous inference and applications
  • Statistical methods in financial econometrics
  • Non- and semi-parametric estimation & inference
  • Functional & longitudinal data analysis

Previous Service to the Profession


  • Associate Editor, Annals of Statistics (2007–2009); Journal of the American Statistical Association (2011–2013; 2014–current); Journal of Statistical Planning and Inference (2012–current).
  • Program Committee for the 2015 Joint Statistical Meetings (2014–2015), Representative for Section on Nonparametric Statistics, American Statistical Association.
  • Publication Committee of International Chinese Statistical Association (2015–2017).
  • Program Chair–Elect (2014) and Program Chair (2015), Section on Nonparametric Statistics, American Statistical Association.
  • Charting Committee of International Society for NonParametric Statistics (2012-current).
  • Committee on Nominations (August 2009–August 2010), Institute of Mathematical Statistics.
  • Board of Directors of the International Chinese Statistical Association (2009–2011).
  • Organizing Committee of SAMSI Program on Neuroimaging Data Analysis (2013); Organizing Committee of Workshop on Nonparametric Models for Complex Biological Data (2005).

Brief Statement


I appreciate the IMS for publishing many well-regarded journals in probability, theoretical statistics and applied statistics as well, for sponsoring worldwide IMS meetings, and more importantly for supporting new researchers in many IMS activities and missions. It is my great honor to stand for election as a council member of IMS. If elected, I will work with other council members together to strengthen IMS activities and develop more IMS activities for young researchers from interdisciplinary programs with new connections with other fields.

Web

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


Ilze Ziedins

Associate Professor, Department of Statistics, University of Auckland

Education

BA in Mathematics and German, Waikato University, 1981

Diploma in Mathematical Statistics, University of Cambridge, 1983

PhD, University of Cambridge, 1989

Research Interests


  • Stochastic networks
  • Queueing theory
  • Optimizing health care delivery

Previous Service to the Profession

  • Queueing Systems, Editorial Board since 2011
  • Australian and New Zealand Journal of Statistics, Editorial Board, 2001-2006 and since 2012
  • Stochastic Models, Editorial Board, 2002 - 2007
  • Vice-President, Operations Research Society of New Zealand since 2013

Brief Statement


The IMS is a wonderful community of statisticians and probabilists. If elected, I would work to promote membership of the IMS amongst young researchers. I am also very interested in working on ways of enhancing the participation of those members of the society who have less opportunity to attend meetings, and in outreach activities for the IMS.

Web

https://www.stat.auckland.ac.nz/showperson?firstname=Ilze&surname=Ziedins