2018 Nominees

President Elect Nominee

 

 

Susan A. Murphy

Professor of Statistics, Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

View webpage

Education

  • Ph.D., Statistics (1989), University of North Carolina, Chapel Hill, NC
  • B.S., Mathematics (1980), Louisiana State University, Baton Rouge, LA

Research Interests

  • Reinforcement learning
  • Causal inference for sequential treatment
  • Clinical trial design for sequential experimentation
  • Sequential decision making in mobile health
  • Semiparametric inference

Previous Service to the Profession

  • June, 2000- August, 2003 IMS program secretary (I recall my duties were to oversee all IMS conferences, to select program chairs, to assist program chairs when there were organizational problems)
  • 2007-2009 Co-editor of the Annals of Statistics (with Bernard Silverman)
  • 2013-2016 Member, IMS Council
  • 2011-12 Chair, Committee to Select Editors, AOS
  • 2011 Member, Joint IMS/BS Publications Management Committee
  • 2000 IMS program chair for the year 2000 IMS/ENAR meeting, Chicago, IL
  • 1997 Steering Committee for the IMS 1997 Western regional meeting, Taipei,Taiwan
  • April, 1996 – March, 2000 Associate Editor, The Annals of Statistics

Brief Statement

If elected, I will focus my efforts on how IMS can assist new researchers in building effective careers. New researchers struggle with a wide variety of challenges. They must effectively make the difficult transition from solving problems to figuring out which problems are worthwhile to solve. They must figure out how to effectively network. They need to figure out how to publicize their work. All of these challenges are made more difficult if the new researcher did not have the benefit of highly visible mentors or mentorship at all or did not attend a prominent university. IMS can help all new researchers by providing opportunities that facilitate networking, enable greater recognition of work by new researchers and improve the ability of new researchers in selecting timely and relevant research problems that they find exciting. If elected, I’ll devote myself to this goal to earn your trust.

 

Council Nominees

 

 

Vivek S. Borkar

Institute Chair Professor, Electrical Engineering, Indian Institute of Technology Bombay, India

View webpage

Education

  • Ph.D. (Electrical Engineering and Computer Science), University of California, Berkeley, 1980
  • M.S. (Systems and Control Engineering), Case Western Reserve University, 1977
  • B. Tech. (Electrical Engineering), Indian Institute of Technology Bombay, 1976

Research Interests

  • Controlled Markov processes in discrete/continuous time or space
  • Stochastic approximation algorithms
  • Stochastic and evolutionary games
  • Inference on networks
  • Learning algorithms, especially reinforcement learning

Previous Service to the Profession

  • Served on journal editorial boards such as SIAM Journal of Control and Optimization, IEEE Transactions on Information Theory, Applicationes Mathematicae, Dynamic Games and Applications, and more
  • Served as member of Executive Committee of IEEE Mumbai Chapter, Executive Committee of International Society for Dynamic Games, several fellowship/award/advisory/conference committees in India and elsewhere

Brief Statement

The boundaries between the traditional domains under the purview of IMS and adjoining areas such as engineering and physical sciences are getting blurred like never before, particularly in domains such as signal processing and machine learning. I hope to bring to the table a view from these borders and the issues that this entails, and help further the synergy.


Vanja Dukic

Professor, Applied Mathematics and Economics, University of Colorado at Boulder

View webpage

Education

  • PhD 2001, Brown University

Research Interests

  • Infectious disease modeling
  • IP surveillance and computational epidemiology
  • Environmental and Ecological modeling
  • Multi-resolution modeling
  • Risk and insurance
  • Bayesian inference and decision theory

Previous Service to the Profession

  • Associate Editor, Bayesian Analysis, 2016-present
  • Associate Editor, Journal of the American Statistical Association, 2007-2012
  • Associate Editor, Statistica Sinica, 2005-2011
  • ISBA Board of Directors, 2015-2017
  • Lindley Prize Committee, ISBA, 2014
  • ISBA Program Council Chair, 2012
  • ISBA Junior Travel Award Committee Chair, 2012
  • SBSS Program Chair, American Statistical Association – Joint Statistical Meetings, 2011
  • SBSS Student Paper Competition committee Chair, American Statistical Association, 2010
  • SBSS Publication Officer, SBSS, American Statistical Association, 2006-2008
  • JSM Invited and Contributed Posters Program Chair, American Statistical Association, 2004
  • Advisory Panel for the NSA Mathematical Sciences Program (MSP), 2013-2014
  • NICHD (NIH) Data Safety Monitoring Board for the Reproductive Monitoring Network, 2008‐2012

Brief Statement

These are exciting times for statistics. We wear many hats, and speak multiple languages. We are partners and leaders in a variety of disciplines. A society like IMS is in a unique position to serve as an umbrella society, and to reach far across fields and generations. I’d be honored to serve on its Council.


 

Christina Goldschmidt

Professor, Department of Statistics, University of Oxford, UK

View webpage

Education

  • B.A. (Hons) Mathematics, 1999, New Hall, University of Cambridge
  • Part III Mathematics, 2000 (MMath awarded retrospectively 2011), New Hall, University of Cambridge
  • Ph.D. Mathematics, 2004, Statistical Laboratory, University of Cambridge

Research Interests

  • Combinatorial stochastic processes, including processes of coalescence and fragmentation
  • Random trees, random graphs
  • Scaling limits of random discrete structures

Previous Service to the Profession

 

  • Associate editor, Stochastic Processes and Their Applications, 2012-15
  • Associate editor, Annals of Applied Probability, 2016-
  • Editorial board member, London Mathematical Society Student Texts book series, 2018-
  • Member, Bernoulli Society Committee for Conferences on Stochastic Processes, 2013-
  • Member, Institute of Mathematical Statistics Committee on Special Lectures, 2016-

Brief Statement

I am honoured to be nominated for a position on the IMS Council. I have been a member of the society since I was a graduate student, and it has been very important for my academic development. The IMS plays a crucial role in the probability and statistics community, with its outstanding journals, conferences and support for young researchers. I hope to be able to give something back by serving on the Council.


 

Ruth Heller

Associate Professor, Statistics and Operations Research, Tel-Aviv University

View webpage

Education

  • PhD. in Statistics, Tel-Aviv University, 2008
  • M.Sc. in Biostatistics, University of Washington, 1998
  • B.Sc. in Mathematics, McGill University, 1996

Research Interests

  • Multiple comparisons methods
  • Non-parametric statistical tests
  • Observational studies
  • Post-selection inference
  • Replicability analysis
  • Statistical genetics

Previous Service to the Profession

 

  • Associate editor, Annals of Statistics, 2016- present
  • Council member of the Israel Statistical Association 2013-2015
  • Pre-conference course at the 7th Meeting of the Eastern Mediterranean Region International Biometric Society (EMR-IBS).

Brief Statement

 

I thank the nominating committee for nominating me as candidate for the IMS council. The statistics discipline is expanding due to the wonderful challenges modern scientific applications provide. I will endeavor to strengthen the links with neighboring disciplines such as applied mathematics and computer science. This will help the statistics discipline thrive. For example, attracting researchers in deep learning to publish works of statistical nature in the IMS journals, and inviting them to participate in conferences sponsored by the IMS, can lead to more involvement of statisticians in this field that is at the cutting edge of modern research.


 

Susan Holmes

Professor, Statistics Department, Stanford University

View webpage

Education

  • 1976 – M. Sc. in Mathematics, Montpellier, France
  • 1985 – Ph D Thesis in Mathematics, section: Statistics, Montpellier, France

Research Interests

  • Reproducible research and the problem of using statistics for testing biomedical hypotheses
  • Analyses of the human microbiome, including longitudinal multi domain challenges and community network analyses
  • The interface between geometry and statistics, in particular the use of differential geometry in the analyses of complex data such as images, networks and trees
  • Computer intensive methods for uncertainty quantification: bootstrap, Bayesian nonparametric methods using HMC and MCMC

Previous Service to the Profession

  • 2007-present: Moderator {\tt arXiv} (Statistics, stat.AP)
  • 2010-present: Associate editor of BMC Bioinformatics
  • 2009-present: Editor, CUP-IMS monograph series
  • 2012-2017: JCGS Management Committee (chair),IMS representative
  • 2008-2012: Chair of Science Board for NIMBioS (NSF, DHLS, NIH, UTK)
  • 2011-2015: Member, Science Board, Fields Institute
  • 2012-2014: Associate editor of Annals of Applied Statistics
  • 2005-2008: Elected Council Member for the IMS (Institute of Mathematical Statistics)
  • 2004-2005: Elected Program Chair for Statistical Computing Section of the ASA
  • 2000-2003: Web editor for the IMS
  • 2005-2009: Associate Editor for Journal of the American Statistical Association (JASA)
  • 2005-2009: Associate Editor for Statistics and Computing
  • 2001-2004: – Associate Editor for Journal of Computational and Graphical Statistics (JCGS)
  • 2001-2007: Associate Editor for Journal of Statistical Software (JSS)
  • 2000-present Referee/Reviewer for NSF (Statistics program, KDI, DUE-CCD, Computational Biology, NIGMS,VIGRE, Developmental and Evolutionary Biology), JASA, Psychometrika, Science, Data Analysis and Computational Statistics, Systematic Biology, ETH, Mathematical Biology, Journal of Theoretical Probability, Journal of Molecular Evolution, Bioinformatics, Journal of the International Clustering Society, Random Structures and Algorithms, Bulletin of the American Mathematical Society, Molecular Biology and Evolution, Annals of Statistics, Statistics in Medicine.

Brief Statement

If elected I would like to promote the development of publishing platforms and computational tools that strengthen the impact of statistics in all fields of applications. Statistical and probabilistic thinking, visualization and computational tools are all essential to our mission. Each of these uses mathematics and statistics as their basic languages. These provide interpretations and understanding of data which is not available through black box methods. Applied work and tool development should be recognized as essential components of the statistical and mathematical enterprise. I think this will benefit particularly women and our younger generation and keep the institute relevant.


 

Xihong Lin

Chair and Henry Pickering Walcott Professor of Biostatistics and Professor of Statistics, Department of Biostatistics and Department of Statistics, Harvard University

View webpage

Education

  • 1994, PhD in Biostatistics, University of Washington
  • 1989, BS in Applied Mathematics, Tsinghua University, China

Research Interests

  • Statistical Inference for massive health science data
  • Statistical genetics and genomics
  • Analysis of Whole Genome Sequencing data in population and clinical sciences
  • Integrative analysis of different types of data (Genome, Exposome and Phenome)
  • Electronic Medical Records and large administrative databases
  • Statistical methods for correlated (longitudinal/clustered, hierarchical and spatial) data
  • Nonparametric (kernel and spline) and semiparametric regression methods
  • Genetic Epidemiology, Environmental Genomics, Genes and Environment
  • Measurement errors
  • Missing data
  • Observational Studies
  • Causal mediation inference

Previous Service to the Profession

  • Chair, Committee of the Presidents of Statistical Societies (COPSS), 2010-2012
  • Founding Chair of the Executive Committee, US Biostatistics Chair Group, 2016
  • Chair, Statistical Genetics and Genomics Section, American Statistical Association, 2016
  • Member, Noether Award Committee, American Statistical Association, 2014-
  • Member, Regional Advisory Committee, ENAR. 2015-2017
  • Member, Committee of Theoretical and Applied Statistics, US National Academy of Science (NAS), 2010-2015
  • Member, Board of Directors, National Institute of Statistical Sciences, 2010-2012
  • Council member, International Biometric Society, 2009-2014
  • Editorial Representative, Executive Committee, International Biometric Society, 2004-2007
  • Member, Board of Directors, International Chinese Statistical Association, 2004-2006
  • Chair, Spiegelman Award Selection Committee, American Public Health Association (APHA), 2005
  • Founding Chair, ENAR Junior Researcher Workshop, ENAR, 2001
  • Editor, Computational Biology Series, Taylor and Francis, 2012-
  • Coordinating Editor, Biometrics, 2003-2005
  • Founding Co-Editor, Statistics in Biosciences (2009-2015
  • Associate Editor, Journal of American Statistical Association, Applications and Case Studies, (1999-2002, 2013-)
  • Associate Editor, American Journal of Human Genetics (2013-2015)
  • Associate Editor, Biometrika (2008-2011)
  • Associate Editor, Biometrics (1997-2002)
  • Associate Editor, Biostatistics (2000-2002)
  • Member, Program Committee, IMP-Pacific Rim Conference
  • Program Chair, 2000 ENAR Meetings, Chicago

Brief Statement

IMS has a long-standing reputation as a leading statistical society in top-notch journals, meetings, education, supporting and mentoring junior researchers, promoting cutting-edge research in probability and statistical methods and applications, promoting open science, international and interdisciplinary outreach, and promotion of statistical practice in the society. This is an exciting time for our discipline in the era of data science. I would like to help the IMS enhance these activities and its impact in these dimensions in the statistics community and beyond, and strengthen its partnerships with other statistical and non-statistical societies to advance statistical science.


 

Richard Lockhart

University Professor, Department of Statistics and Actuarial Science, Simon Fraser University

View webpage

Education

  • Ph.D. – 1979, University of California, Berkeley
  • M.A. – 1976, University of California, Berkeley
  • B.Sc. – 1975, University of British Columbia

Research Interests

  • Inference after model selection
  • Goodness-of-fit
  • Statistics in Physics
  • Inference in stochastic processes

Previous Service to the Profession

  • President-Elect/President/Past President, Statistical Society of Canada (SSC) 1995-1998
  • Member, COPPS, 1995-1998
  • Chair, Joint Meetings Advisory Committee, 1999. Member 1997-1999.
  • Program sub-chair for SSC, SSC/IMS joint meeting June 1995
  • Associate Editor, Canadian Journal of Statistics, 1989-2000, 2004-present
  • Editor, Canadian Journal of Statistics, 2001-2003
  • Associate Editor, Technometrics, 2002-2007
  • Editor (1 of 4), Statistics Surveys, 2007-present
  • Executive Editor, Journal of Multivariate analysis, 2016-present

Brief Statement

It is a great privilege to be nominated to serve the IMS. If elected I would hope to bring a strong, sensible voice to the table to maintain the strength and relevance of our journals and meetings. I would hope to be an advocate for many sub-communities all of whom need the IMS to serve them and all of whom need the IMS to remain an active, forward looking, collectively self-aware society which is well-managed and stable for the very long term.


 

Gabor Lugosi

ICREA Research Professor, Department of Economics and Business, Pompeu Fabra University and ICREA

View webpage

Education

  • PhD in Electrical Engineering, Hungarian Academy of Sciences, 1991

Research Interests

  • Statistical learning theory
  • Random graphs and structures
  • Nonparametric statistics
  • Concentration inequalities

Previous Service to the Profession

 

  • Editor and co-founder of Mathematical Statistics and Learning (2017–)
  • Associate editor of Annals of Applied Probability (2016–)
  • Associate editor of Probability Theory and Related Fields (2015–)
  • Action editor of Journal of Machine Learning Research (2005–)
  • Member of the editorial board of Machine Learning Journal (2006–)
  • Associate editor of TEST (2002–)
  • Associate editor of ESAIM: Probability and Statistics (2005–)
  • Associate editor of IEEE Transactions on Information Theory (1999–2002)
  • Associate editor of Statistics & Decisions (2002–2011)
  • Associate editor of Scandinavian Journal of Statistics (2010–2015)
  • Member of the editorial board of Foundations and Trends in Machine Learning (2007–)

Brief Statement

 

It is a great honor to be nominated to the IMS Council. Both probability and statistics are booming largely thanks to the new challenges coming from data science, machine learning, bioinformatics, and other fields. IMS faces the challenge of keeping a leading role in this increasingly competitive environment and promoting rigorous thinking.


 

Nicolai Meinshausen

Professor of Statistics, Department of Mathematics, ETH Zurich

View webpage

Education

  • PhD in Mathematics, ETH Zurich (2005)
  • MSc in Applied and Computational Mathematics, University of Oxford (2002)
  • Diploma in Physics, ETH Zurich (2001)

Research Interests

 

  • Causality
  • Machine Learning
  • High-dimensional data
  • Applications

Previous Service to the Profession

  • IMS committees:
    • IMS Nominations Committee (2014)
    • IMS Committee on special lectures (2015-)
    • Chair of IMS Committee on special lectures (2016, 2017)
  • Associate editor:
    • Journal of the Royal Statistical Society, Series B (2009 – 2013 and 2015-)
    • Annals of Statistics (2013 – 2015)
    • Journal of Machine Learning Research (2013 – 2016)
    • Journal of Computational and Graphical Statistics (2008 – 2011)
    • Biometrika (2009 – 2011)
    • Electronic Journal of Statistics (2006 – 2010)

Brief Statement

 

The nomination for IMS council is a great honour. The IMS provides invaluable services to the community via its high-quality journals and conferences. We must make every effort to maintain these standards. The most pressing and interesting challenge I currently see for IMS is to positively shape the developments in the fields of Machine Learning and Data Science by maintaining and encouraging strong ties between theory and applications.


 

Kerrie Mengersen

Distinguished Professor in Statistics, School of Mathematical Sciences, Queensland University of Technology, Qld, Australia

View webpage

Education

  • PhD in Mathematical Statistics, 1989, University of New England, Australia

Research Interests

  • Bayesian statistics
  • Statistical computing
  • Modern applied statistical methods
  • Modelling and analysis of challenging data
  • Applications in health, environment and industry

Previous Service to the Profession

  • Past President, International Society for Bayesian Analysis (ISBA)
  • Past President, Statistical Society of Australia (SSA)
  • Past Managing Editor of the Australian and New Zealand Journal of Statistics
  • Executive roles in ISBA and International Biometrics Society

Brief Statement

It’s an exciting time to be a mathematical scientist. I have been an elected Fellow of the IMS since 2005 and would be honoured to serve the Society. The IMS plays a key role in creating an international community for mathematical sciences, encouraging excellence in research and promoting quality of practice. If elected, I would be pleased to support these endeavours, in particular: supporting early career professionals, particularly women and those in developing countries; taking an international leadership role in the development of a code of good conduct in mathematical sciences, including the promotion of a professional environment free from harassment of any kind; and strengthening networks with other national and international societies, including smaller local groups, to expand opportunities and meet common challenges.