2018 Elected Member Profiles

President Elect

 

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

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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

 

Christina Goldschmidt

Professor, Department of Statistics, University of Oxford, UK

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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.


 

Susan Holmes

Professor, Statistics Department, Stanford University

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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

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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

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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.


 

Kerrie Mengersen

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

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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.