2021 Elected Officials

President-Elect

‪Peter Bühlmann

Professor of Statistics, Seminar for Statistics, Department of Mathematics, ETH Zürich

View webpage

Education

  • Diploma (MSc) in mathematics, 1990, ETH Zürich
  • PhD in statistics, 1993, ETH Zürich (advisor: Hans R. Künsch)

Research Interests

  • Causal inference
  • Computational statistics
  • High-dimensional statistics
  • Interdisciplinary applications in the bio-medical field

Previous Service to the Profession

  • Associate Editor Annals of Statistics 2006-2009
  • Co-Editor Annals of Statistics 2010-2012
  • IMS Council Member (ex officio) 2010-2012
  • IMS Council Member 2014-2017
  • Member/Chair IMS Fellows Committee 2016/2017
  • Program Co-Chair IMS Annual Meeting 2018 Vilnius
  • Associate Editor Statistical Science 2017-current

Brief Statement

I feel deeply honored to be nominated as President-Elect of IMS. If elected, I will devote myself to maintain IMS as the prime society for statistics and probability. This is to be seen in the broad sense, encompassing, among others, interdisciplinary, reproducible, data, information and mathematical sciences. My goals also include the continuation and further development of what has been initiated already, namely: partnership with related disciplines; and supporting the generation of young scientists, something I view as especially important. All members of IMS, over the entire globe and from diverse backgrounds, will be most welcome to contribute shaping the future of IMS.


Council – For a 3 year term

Aurore Delaigle

Professor, School of Mathematics and Statistics, University of Melbourne

View webpage

Education

  • Bachelor in Mathematics, Universite catholique de Louvain, Belgium, 1997
  • Master in Statistics, Universite catholique de Louvain, Belgium, 1999
  • PhD in Statistics, Universite catholique de Louvain, Belgium, 2003

Research Interests

  • Nonparametric statistics
  • Measurement errors, deconvolution, and imperfectly observed data
  • Functional data

Previous Service to the Profession

  • Executive Secretary and member of the Executive Committee of the IMS (2011–2017)
  • Co-Editor in chief of the Journals of the Royal Statistical Society, Series B (2020-2022)
  • Associate editor for Annals of Statistics (2012-2018), Australian and New Zealand Journal of Statistics (2012-2018), Econometrics and Statistics Journal, Part B Statistics (2016-2018), Journal of the American Statistical Association (2008-2019), Journal of Computational and Graphical Statistics (2009-2019), Journal of Nonparametric Statistics (2009-2012), Journal of the Korean Statistical Society (2008-2012), Journal of the Royal Statistical Society, Series B (2010-2019), Statistica Sinica (2008–2018)
  • 2022 Institute of Mathematical Statistics (IMS) Asia Pacific Rim conference local committee chair and organiser (with Howard Bondell)
  • Member of sectional committee 14 (interdisciplinary) to elect fellows of the Australian Academy of Science (2020–2023)
  • Section on Nonparametric Statistics Council of Sections Representative (elected) for the American Statistical Association (2019–2021)
  • Member of the Network of Advisors for the publications of the Royal Statistical Society, UK (2020–2022)
  • Member of the IMS committee to select administrative officers (2020–2023)
  • Chair of committee for Peter Hall Prize, IMS (2020–2023)
  • Member of the publications committee of the Bernoulli Society (2016–2020)
  • Member of the Gavin Brown Prize committee of the Australian Mathematical Society (2020)
  • Executive Secretary of the International Society for Nonparametric Statistics (2013–2018)
  • 2017 Associated chair of the Joint Statistical Meetings
  • Chair (2016) and member (2013) of the American Statistical Association Nonparametric Statistics Section Student Paper Award committee
  • IMS representative to the American Statistical Association Committee on Meetings (2011–2017)

Brief Statement

IMS has and will continue to play a central role in the promotion and dissemination of high quality probability and statistics. My very enjoyable experience as executive secretary of the IMS (from 2011 to 2016) has taught me a lot about the various challenges it faces. During my term as executive secretary, I contributed to discussions about modernising various aspects of the IMS, such as its publications, membership, fellowship, organisation of IMS meetings and gender equity. I would love to contribute again to the continuation of its outstanding support to the scientific community.


Davar Khoshnevisan

Professor and Chair, Department of Mathematics, The University of Utah

View webpage

Education

  • B.Sc./M.Sc. in Mathematical Sciences (1984) The Johns Hopkins University
  • Ph.D. in Statistics (1989) University of California, Berkeley

Research Interests

  • Probability
  • Stochastic Analysis
  • Stochastic Partial Differential Equations
  • Applications of stochastic analysis to physics and engineering

Previous Service to the Profession

  • (2020-2024) Probability & Statistics Editor, Memoirs of the American Mathematical Society
  • (2020-2024) Probability & Statistics Editor, Transactions of the American Mathematical Society
  • (2013-present) Associate Editor, Journal of Fractal Geometry
  • (2007-present) Associate Editor, Journal of Theoretical Probability
  • (2013-present) Member of the advisory board for Lecture Notes in Mathematics, Springer-Berlin
  • (2012-present) Series Editor for Probability and Its Applications, Springer-Berlin
  • (2012-present) Series Editor for Progress in Probability, Springer-Basel
  • (2011-2017) Associate Editor, The Annals of Probability
  • (2009-2012) Associate Editor, Stochastic Processes & Their Applications
  • (1999-2002) Managing Editor, The Electronic Journal of Probability and Electronic Communications in Probability
  • (2020-present) Organizer of the biweekly online seminar, Stochastic Analysis Under Covid Years 2020 and 2021
  • (2017-2020) Member of the Committee on Fellows, IMS
  • (2017-2020) Member of the Joint Special Chairs Committee, IMS/Bernoulli Society
  • (2017-2021) Foreign member of the Scientific Advisory Committee of Summer School in Stochastic Analysis, CRM-Barcelona
  • (2014-2015) Chair of the Committee on Electronic Issues, IMS
  • (2011-2014) Member of the Committee on Electronic Issues, IMS
  • (2009-2011) Council member, IMS
  • (2009-2011) Member of the Finance Committee, IMS
  • (2003-2004) Chair of the Committee for selection of Special Invited Lectures, IMS
  • (2001-2003) Member of the Committee for selection of Special Invited Lectures, IMS

Brief Statement

It is a privilege to be a member of the IMS, and an honor to be nominated for election to the IMS Council. The IMS plays a fundamental role in identifying and supporting high-quality research and a wide array of training and development efforts in our discipline. I believe it is vitally important to continue to offer publications and conference venues at the highest levels and at low cost, and to continue to also find new ways of doing that in the modern times. Despite the many difficulties and challenges that the current global pandemic has presented us with, it also has suggested a number of possibilities for novel dissemination of knowledge and new ways of finding and honing potential talent in statistics and probability. There indeed is a lot to learn from our present situation. I would be honored to have a chance to explore these topics as a member of the IMS council.


Samuel Kou

Professor of Statistics, Department of Statistics, Harvard University

View webpage

Education

  • Ph. D. in statistics, received from Stanford University in 2001

Research Interests

  • Stochastic inference in single molecule biophysics, chemistry and biology
  • Bayesian inference of stochastic models
  • Big data and big data analytics
  • Nonparametric methods, model selection and empirical Bayes
  • Monte Carlo methods
  • Economic and financial modeling

Previous Service to the Profession

  • 2015. Committee on Nominations, Institute of Mathematical Statistics
  • 2008 to 2011. Committee on Publications (served as committee chair: 2009 — 2010), Institute of Mathematical Statistics
  • 2018. COPSS Presidents’ Award Committee
  • 2017, 2016, 2014, 2013, 2012, and 2009. US National Science Foundation grant review panel
  • 2010 to 2012. Member, Board of Directors, International Chinese Statistical Association
  • 2019, 2018, 2015, and 2010. Guest Editor, Proceedings of the National Academy of Sciences of the USA
  • 2017 to now. Associate Editor, Journal of the American Statistical Association, Theory and Methods
  • 2013 to 2019. Associate Editor, Annals of Statistics
  • 2010 to 2012. Editor, Annals of Applied Statistics
  • 2013 to 2017. Editor, STAT
  • 2011 to 2013. Associate Editor, Statistical Science
  • 2010 to 2014. Associate Editor, Bernoulli
  • 2009 to 2012∙ Associate Editor, Journal of the American Statistical Association, Applications and Case Studies
  • 2008 to 2013. Editor, Chance Magazine
  • 2007 to 2009, and 2012 to 2015. Associate Editor, Annals of Applied Statistics
  • 2005 to 2011, and 2014 to 2017. Associate Editor, Statistica Sinica
  • 2006 to 2009. Associate Editor, Journal of Multivariate Analysis

Brief Statement

It is my great honor to be nominated for membership in the IMS Council. The IMS has an extraordinary tradition of bringing probabilists and statisticians together, with a united focus on scientific excellence, evidenced by its outstanding reputation on publications, meetings, promoting collaboration, and mentoring young researchers. The inclusive culture of the IMS is particularly well suited for shaping the discipline and fostering cross-fertilization in the era of data science, where a concerted effort (from statisticians and probabilists) is needed for important scientific applications as well as deep understanding of new technical advances. It will be my privilege to contribute to this effort.


Dylan Small

Class of 1965 Wharton Professor of Statistics and Department Chair, Department of Statistics, The Wharton School, University of Pennsylvania

View webpage

Education

  • AB, Mathematics, Harvard University, 1997
  • PhD, Statistics, Stanford University, 2002

Research Interests

  • Causal inference
  • Applications of statistics to public health and public policy

Previous Service to the Profession

  • Associate Editorships: Annals of Statistics (2015-present), Observational Studies (editor, 2014-2019; associate editor, 2020-present), Journal of Causal Inference (2011-present), The American Statistician (2008-present), Statistical Science (2018-2020), Annals of Applied Statistics (2019-2020), Journal of the American Statistical Association (2008-2012, 2017-2019), Journal of the Royal Statistical Society Series B (2011-2016), Journal of Educational and Behavioral Statistics (2003-2019), Journal of Quantitative Analysis in Sports (2011-2014), Biometrics (2008-2010)
  • Statistics in Epidemiology Section of the American Statistical Association: Publications Officer, 2007-2009; Program Chair, 2012; Chair, 2018
  • Statistics in Sports Section of the American Statistical Association: Secretary/Treasurer, 2007-2009; Chair, 2011

Brief Statement

I am honored to stand for election to the IMS council. I would like to listen and work with IMS members to find ways to represent members’ interests.  Particular interests of mine for the IMS include the following: maintaining the high quality of the IMS journals, supporting early career researchers, encouraging underrepresented groups to enter our field and supporting their careers, supporting researchers working in isolated environments and keeping IMS members feeling part of a community.


Daniela M. Witten

Professor and Dorothy Gilford Endowed Chair in Mathematical Statistics, Department of Statistics and Department of Biostatistics, University of Washington

View webpage

Education

  • B.S. in Mathematics and Biological Sciences, 2005, Stanford University
  • M.S. in Statistics, 2006, Stanford University
  • Ph.D. in Statistics, 2010, Stanford University

Research Interests

  • Statistical machine learning
  • High-dimensional statistics
  • Applications to genomics and neuroscience

Previous Service to the Profession

  • Associate Editor:
    • Journal of Computational and Graphical Statistics, 2011-2015
    • Biometrika, 2012-present
    • Journal of the American Statistical Association, Theory & Methods, 2014-2017
    • Journal of Machine Learning Research,2018-present
  • Award Committees:
    • COPSS Distinguished Achievement Award and Lecture Committee, 2019-2022
      • Committee chair in 2021
    • Spiegelman Award Committee, 2020-present
  • Editor Search Committees:
    • Committee to select founding co-editors of IMS Data Science Journal, 2019-2020
    • JASA Theory & Methods Co-Editor Nominating Committee, 2020
    • AOAS Editor Search Committee, 2020-2021
  • Institute for Pure and Applied Mathematics (IPAM) Scientific Advisory Board, 2019-present
  • ASA Ad Hoc Data Science Advisory Committee 2019-2020
  • Program/Steering committee member for 10+ conferences (incl. JSM as IMS Contributed Papers Chair); 2012-present

Brief Statement

As interest in data science increases, there is growing pressure on the fields of mathematical statistics and probability to prove their value in a data-driven world. There is also a rare opportunity to showcase our contributions to a large scientific audience. IMS is uniquely positioned to tackle this challenge and seize this opportunity. I will continue IMS’s efforts to engage with researchers from other fields, and to welcome a big tent of researchers across all areas of statistics and probability, broadly defined. Moreover, I’m committed to supporting early career researchers, and to promoting diversity.


Council – For a 2 year term

Radu V. Craiu

Professor and Chair, Department of Statistical Sciences, University of Toronto

View webpage

Education

  • BSc (1995, University of Bucharest)
  • MSc in Mathematics (1996, University of Bucharest)
  • PhD (2001, University of Chicago)

Research Interests

  • Bayesian inference
  • Copula Models
  • Markov chain Monte Carlo algorithms
  • Model Selection
  • Statistical Genetics, Ecology and Astrostatistics

Previous Service to the Profession

  • Contributing Editor for IMS Bulletin (2020-present)
  • AE for Harvard Data Science Review (2019-present)
  • AE for Journal of Computational and Graphical Statistics (2006-present)
  • STAT – ISI’s Journal for the Rapid Dissemination of Statistics Research (2012-present)
  • Past AE for Statistica Sinica  (2005-2011)
  • Past guest AE for Technometrics (2014) and Statistics and Its Interface (2014)
  • Member of NSERC’s evaluation panel in Mathematics and Statistics (2016-2018)

Brief Statement

It is an honour to be considered for membership on the IMS council. As the most important organising body of the international community of statisticians, IMS can use its prestige to spearhead initiatives that will increase the visibility and impact of Statistics. Equally important, the long history of IMS positions it perfectly to help our profession preserve its core values and to inspire more active involvement with other communities working within Data Science. If elected, I will work to preserve IMS as a unifying and visionary organisation at a time when our community is pulled in many competing directions.