2024 Candidate Profiles
President- Elect Nominee
Professor, Division of Applied Mathematics, Brown University
Education
- Masters, Tech, Indian Institute of Technology, Bombay (1992)
- PhD degree, 1993 and 1998, Brown University
Research Interests
- Probability theory
- Stochastic processes
- Interacting particle systems
- Mean-field games
- Large deviations
- Stochastic networks
- High-dimensional probabilty
- Asymptotic convex geometry
Previous Service to the Profession
- Co-Editor-in-Chief, Annals of Applied Probability, 2022-2024
- Area Editor, Mathematics of Operations Research
- Editor: Probability Theory and Stochastic Modeling Springer Book Series
- Associate Editor: Annals of Probability (2006-2012; 2021-2026), Communications of the AMS (2020-2025), SIMODS (2021-), Sankhya (2022-), SIAP (2018-2021), etc.
- Co-chair, Program Committee, 2024 Bernoulli-IMS World Congress
- AMS Nominations Committee (2015-2017)
- AMS Invited Address Committee (2021-2024)
- AMS Committee on Committees (2021-2023)
- AWM Executive Committee (2018-2022)
- AWM Student Chapters Committee (2015-2018; chair 2016-2017)
- Bernoulli Society Nominations Committee (2013-2016)
- IMS Council (2015-2018 and ex-officio 2022-2024)
- IMS Committee on Special Lectures (2014-2017)
- IMS Nominations Committee (2011-2013 and 2021-2022)
- Prize Committees: Erlang Prize (2014-2017); Doeblin Prize (2018); ICIAM Maxwell Prize (2019); Marc Yor Prize (2020-2021); Polya Prize (2022)
- Scientific Advisory Board, ICERM (2017-2020)
- Scientific Council of the SMAI [French society of Applied Math] (2014-2021)
Brief Statement
It is an honor to be nominated for the Presidency of the IMS, which is a serious responsibility and an opportunity to give back to the community. This is a golden era for probability, statistics and data science, with exciting developments taking place across all areas, including fundamental theory, applications and industry. I plan to further strengthen the IMS’ crucial role in promoting high quality scholarship, pedagogy, interdisciplinary and collaborative research, and supporting junior researchers. I hope to cultivate a more inclusive, diverse and vibrant environment, broaden the international membership base, and find creative ways to fund existing and new initiatives.
Council Nominees
You may view the profile for each nominee by clicking on their name below.
Professor of Mathematics, Department of Mathematics, Columbia University
Education
- A.B. Mathematics, 2006, Harvard University
- Ph.D. Mathematics, 2011, Courant Institute at New York University
Research Interests
- Probability theory
- Stochastic analysis
- Random matrix theory
- Mathematical physics
Previous Service to the Profession
- Member of Scientific Advisory Committee for Simons Laufer Mathematical Sciences Institute (formerly MSRI), 2021-2025
- Member of Scientific Advisory Board for Institute for Computational and Experimental Research in Mathematics, 2020-2023
- Member of Scientific and Program Committee for various meetings including the 2024 International Congress of Mathematical Physics and 2022 Stochastic Processes and their Applications conference
- Member of Steering Committee for GROW conference as well as organizer for 2024 and 2025 instance of GROW at Columbia
- Associate Editor or Editorial Board Member for several journals: Annales de l’Institut Henri Poincare B, Bulletins of the AMS, Forum of Mathematics Sigma and PI, International Mathematics Research Notices, Journal of Functional Analysis, Journal of Statistical Physics, Probability and Mathematical Physics, Probability Theory and Related Fields, Selecta Mathematica, SIGMA
Brief Statement
I believe that the IMS plays a key role in the probability and mathematical statistics communities through running excellent journals, organizing quality meetings, administering important prizes, and promoting diversity and outreach. I am happy to be nominated for election to the IMS council to help ensure the continuation of these functions
Chair (and Full Professor) in Statistics and Royal Society Wolfson Fellow, Department of Mathematics, Imperial College London
Education
- A.B. cum laude in Statistics, 2007, Harvard University
- M.A. in Statistics, 2010, The Wharton School of the University of Pennsylvania
- Ph.D. in Statistics, 2014, The Wharton School of the University of Pennsylvania
Research Interests
- Statistical inference for stochastic processes
- Exact distribution theory
- Optimal stopping
- Stochastic control
- Queueing systems
- Mathematical finance
- Time series analysis
Previous Service to the Profession
- (May 2024) Co-Organizer for the “First International Symposium on the Sustainability of Agrarian Societies in the Lake Chad Basin,” hosted by University of Maiduguri, Nigeria
- (2023-present) Associate Editor for Journal of the American Statistical Association, Theory & Methods.
- (2021-present) Associate Editor for Mathematics of Operations Research
- (2019-2022) Guest Editor-in-Chief for “In Memoriam: Larry Shepp,” a special issue of Stochastic Processes and their Applications
- (August 2019) Director of Instruction for a summer session of the Tapia Center Say STEM Camp at The Tapia Center for Excellence and Equity in Education at Rice University
- (2018-present) Associate Editor for Stochastics
- (2018-present) Associate Editor for Statistics & Probability Letters
- (2018-present) Associate Editor for Communications on Stochastic Analysis/Journal of Stochastic Analysis
- (June 2018) Lead Organizer for “A Symposium on Optimal Stopping” (In Memory of Larry Shepp), hosted by Rice University, Houston, TX. www.optimalstopping.com
Brief Statement
I am honored to be nominated for the IMS Council election. I have always felt privileged to be a member of the IMS community, and it is indeed in no small part due to the IMS that I am a statistical scientist today. I now hope to pay the favor forward by working to ensure that researchers in all areas of statistical science, regardless of specialty or subfield, continue to feel at home at the IMS. Other interests of mine include supporting early career researchers as well as encouraging more scientists from underrepresented groups to join our incredible IMS community.
Education
- BSc Mathematics, University of Geneva (1998)
- MSc Physics, University of Geneva (1998)
- PhD Physics, University of Geneva (2001)
Research Interests
- Probability Theory
- Mathematical Physics
- Stochastic analysis
- Stochastic dynamics
- Stochastic PDEs
Previous Service to the Profession
- Chair of the 2022 ICM programme committee
- Member of the ICM structure committee (2023-present)
- Co-director of the Bernoulli center (2023-present)
- Member of the scientific advisory board of HCM, Bonn (2017-present; chair since 2023)
- Member of the scientific advisory board of the Fields Institute, Toronto (2021-present)
- Member of the scientific steering committee of the Institute Henri Poincaré (Paris; 2012-2020)
- Member of the scientific steering committee of the Oberwolfach Institute (2013-2021)
- Member of the scientific advisory board of ETHZ-ITS (2013-2019)
- Managing editor for the journal “Commun. AMS” (2021-present)
- Associate editor for “Inventiones Mathematicae” (2023-present)
- Associate editor for the “Archive for Rational Mechanics and Analysis” (2023-present)
- Associate editor for the journal “Trans. LMS” (2021-present)
- Associate editor for the journal “Commun. Math. Phys” (2015-2023)
- Associate editor for the journal “Probability Theory and Related Fields” (2008-2020)
- Associate editor for the “Journal of Functional Analysis” (2013-2023)
- Associate editor for the journal “Annals of IHP Ser. B” (2011-present)
- Associate editor for the “Electronic Journal of Probability” (2010-2014)
- Associate editor for “Electronic Communications in Probability” (2010-2014)
- Associate editor for the journal “SPDEs: analysis and computations” (2012-present)
- Associate editor for the journal “NoDea” (2007-present)
- Associate editor for the “Journal of Mathematical Analysis and Applications” (2010-2011)
Brief Statement
I am very honoured to be nominated for election to the IMS council. Through its activities, meetings and journals, the IMS plays a crucial role for our community and, if elected, I will do my best to help in all aspects of its mission. Strengthening the links between the probability and statistics communities is particularly important to me, as is ensuring that the high scientific quality of the IMS journals is preserved.
Education
- BS in Mathematics, Tufts University, 1999
- PhD in Mathematics, University of California, San Diego 2004
Research Interests
- Random processes in geometric settings
- Infinite-dimensional analysis
- Functional inequalities
Previous Service to the Profession
- Joint Committee on Women in Mathematical Sciences, IMS representative, (2022-2025)
- IMS Committee for the Hall Prize (2021-2024), Chair (2023-2024)
- IMS Committee on Equality and Diversity, JCW Representative, (2022-2025)
- Associate Editor for Journal of Theoretical Probability (2017—)
- Founder and co-organizer for Women in Probability (2013—)
Brief Statement
It is an honor to be nominated for election to the IMS Council. Given the rapid development of data science, machine learning, and AI, it’s increasingly important to improve public understanding of probability and statistics. The IMS plays a central role in the probability and statistics community, and could have great impact with public outreach. Simultaneously, it’s important the IMS continue publishing high-quality journals, organizing meetings and other opportunities for engagement, and otherwise supporting researchers, particularly those at early career stages. It would be a privilege to be part of IMS efforts to advance these purposes internationally.
Felix-Bernstein Chair for Mathematical Statistics, Department of Mathematics and Computer Science, Göttingen University, Germany
Education
- Dr. rer. nat., Georg-August Universität Göttingen, 1994
Research Interests
- Theory and Methodology:
- Geometric statistics
- Optimal transport
- Multiscale methods
- Current applications:
- Single molecule experiments
- Ion channel recordings
- Nanoscale fluorescence microscopy
- Optogenetics
Previous Service to the Profession
- 2007-2011: Elected member of ERC of the Bernoulli Society
- 2003-2012: Advisory board member of the GMDS certificate committee “Biometrics in Medical Science
- 2006: Steering Committee of Inverse Problems international Association (IPIA)
- 2016-2019: Chair of the Panel for Computer Science, Mathematics and Statistics of the Independent Research Fund (IRFD), Denmark
- 2017–2020: Member of the Council of the Institute of Mathematical Statistics
- 2022- : IMS Committee for the Hall Prize
- 2024- : Ethel Newbold Prize Committee of the Bernoulli Society
- Associate Editorship. (former and present): Annals of Statistics, Bernoulli Journal, Electronic Journal of Statistics, Statistical Science, Journal of the Royal Statistical Society Ser. B, Statistics in Medicine, Journal of the American Statistical Association, Journal of Nonparametric Statistics, Journal of Statistical Planning and Inference
Brief Statement
As an IMS member for many years I am deeply honored to be nominated for the IMS council. I had the opportunity to serve for the IMS council more than 10 years ago and I remember this a highly active and productive period. The IMS is our flagship organization in statistics and probability and these are exciting times for our profession. Playing a central role in data science we are faced with great opportunities but also the challenge to locate ourselves in the data science landscape. I would be glad if I could help to strengthen the links between IMS and other data science communities, where I have actively participated, such as in machine learning, optimization or inverse problems.
Robert Maynard Hutchins Distinguished Service Professor of Statistics and Finance, Department of Statistics, The University of Chicago
Education
- Baccalauréat, 1979, Lycée Corneille, Rouen (France)
- B.Sc. Mathematics/Computer Science, 1983, University of Bergen (Norway)
- M.Sc. Statistics, 1984, University of Bergen (Norway)
- Ph.D. Statistics, 1989, University of California, Berkeley (USA)
Research Interests
- Time dependent data
- High frequency inference
- High dimensional statistics
- Martingales
- Likelihood theory
Previous Service to the Profession
- President of the Society of Financial Econometrics (SoFiE), July 2017 – June 2019
- SoFiE Council (since 2009), SoFiE Executive Committee 2016-2022, Chair of the Institutional Members Committee from 2022
- Director, Stevanovich Center for Financial Mathematics, 2009-present
- IMS Council (2001-2005)
- IMS Fellowship Committee (2002-2005, and 2020-2023; Chair 2004-05)
- Associate Editor: Journal of the American Statistical Association (2010-present), Journal of Financial Econometrics (2009-present), previously Annals of Statistics, Annals of Applied Statistics, Journal of the Royal Statistical Society Series B, Journal of Business and Economic Statistics, Scandinavian Journal of Statistics
- Organizer of annual conferences: Conference on Big Data and Machine Learning in Econometrics, Finance, and Statistics (2019-present), Conference on Market Microstructure and High Frequency Data (2014-present)
- Organizer or oversight of a large number of other conferences, most recently A Symposium on Human+AI (2022-2023), Privacy and Data Governance: Implications for Statistical and Econometric Research (2023), Workshop on Quantum Advantage and Next Steps (2022)
Brief Statement
As a field, we are in the middle of a massive transition with the growth of data science and artificial intelligence. An important goal for the IMS is to help statistics and probability to be part of these developments. We can use our knowledge of theory development to contribute to these areas, and we can also learn from them. The IMS should also seek connections to other related cultures. I hope to be useful for the IMS, among other things, by drawing on my past experience in working across academic cultures. (See under previous service.)
Professor of Statistics, Department of Decision Sciences and Bocconi Institute for Data Science and Analytics, Bocconi University, Milan, Italy
Education
- Ph.D. in Mathematical Statistics, 2003, University of Pavia, Italy
Research Interests
- Bayesian Statistics
- Nonparametric Statistics
- Discrete Random Structures
- Probabilistic symmetries
- Predictive inference
- Survival Analysis
Previous Service to the Profession
- Editorial Service:
- Associate Editor for The Annals of Statistics (2017- )
- Co-Editor for Bayesian Analysis (2014- )
- Associate Editor for Operations Research (2018-2024)
- Associate Editor for Statistical Methods & Applications – Journal of the Italian Statistical Society (2014-2019)
- Associate Editor for Computational Statistics & Data Analysis (2013-2018)
- Associate Editor for Sankhya Series A (2012-2015)
- Associate Editor for the Electronic Journal of Statistics (2008-2012)
- Other Professional Service:
- President of the International Society for Bayesian Analysis (2021)
- IMS Program Co-Chair for 78th IMS Annual Meeting & Joint Statistical Meetings, Seattle, USA (2015)
- International Society for Bayesian Analysis: Chair of the Nonparametrics Section (2019), Board Member (2012-2014), Program Chair (2012) and member of several committees
- Chair of the Scientific Committee of the 12th ISBA World Meeting (2012)
- Chair of the Scientific Committee of the 7th Bayesian Nonparametric Conference (2009)
- Organizer of workshops at BIRS, CIRM, IMS-NUS
Brief Statement
It is a great honor to be nominated for election to the IMS council. I have been a proud member since my graduate studies: as a society IMS stands out for the highest quality of its journals, its geographic diversity, the support of early career researchers and the promotion of genuine open access to research. If elected, I will do my best to preserve and further strengthen the leadership status of IMS in these endeavors.
Education
- B.S. (Mathematics), 1975, National Taiwan University
- M.A. (Mathematics), 1978, UC Santa Barbara
- Ph.D. (Statistics), 1982, UC Berkeley
Research Interests
- Deep learning
- Functional data analysis
- Survival analysis
- Joint modeling of survival and longitudinal data
- Non and semiparametric inference
- Applications
Previous Service to the Profession
- Editorial Service:
- Co-Editor, Journal of the American Statistical Association (2020-2023)
- Co-Editor, Statistica Sinica (2002-2005)
- Statistics Board of Reviewing Editors, Science (since 2015)
- Co-editor, COPSS 50th Anniversary Volume: Past, Present and Future of Statistical Science, Taylor and Francis/CRC (2014)
- Associate Editor: Biometrika (since 2012), Journal of Nonparametric Statistics (since 2008), Bernoulli (2010-15), Journal of Royal Statistical Society Series B (2006-2010), Sankyhā: The Indian Journal of Statistics (1999-2001), Statistica Sinica (1996-2001)
- Service to IMS
- IMS Fellow Committee, 2000-2003, 2020-2023
- IMS Council, 2008-2011, 2002-2005, 2013-16
- IMS representative for the Joint Committee for Women in Mathematics, 2011-2014
- IMS Committee on Nominations, 2010-2011
- IMS Program chair for JSM, 2003
- Chair of the Organizing Committee, Joint AMS-IMS-SIAM Summer Research Conference on “Emerging Issues in Longitudinal data Analysis”, Mount Holyoke College, 2002
- Program Chair, IMS Asian and Pacific Regional Meeting, 1997
- Other Professional Service
- Noether Research Awards Committee, 2024+, 2018-2020
- Committee of Presidents of Statistical Societies (COPSS) Award, 2011-2014
- Co-program leader, SAMSI (Statistics and Applied Mathematical Sciences Institute) summer program on “Neuroimaging Data Analysis”, 2013
- Awards Committee, International Chinese Statistical Association, 2002-2006, 2010-2013
- Program Co-leader for a year-long program on “Analysis of Object Data”, SAMSI, 2010-2011
- Chair, Nonparametric Section of the American Statistical Association, 2010
- President, International Chinese Statistical Association, 2008
- Deming Lecture Committee, American Statistical Association, 2004-2010
- Chair, Bernoulli Section of the Program Committee for the 56th Session of the International Statistical Institute, Lisbon, Portugal, 2007
- Bernoulli Section of the Program Committee for the 55th Session of the International Statistical Institute, Sydney, Australia, 2005
- Fellow Committee, American Statistical Association, 2000-2003
- Membership Committee, International Chinese Statistical Association, 2000- 2001
- Board of Directors, International Chinese Statistical Association, 1993- 1995, 1997-1999
Brief Statement
This is an exciting period as we enter a new era with the explosive advancements on the AI front. The role of statistics and probability will be increasingly important and the IMS is uniquely positioned to provide leadership for shaping this role. Important tasks include the development of a forward-looking curriculum that trains the next generation of statisticians, and to brainstorm and develop a vision for the role of mathematical statistics in the age of AI. To address these challenges, the IMS can provide a central platform and also a nurturing environment for a path forward that is inclusive and enhances diversity.
The next few years will be critical for the future of our field and the IMS may need to recalibrate its mission and growth strategies to adapt to the rapidly changing environment. It would be a privilege and honor for me to have the opportunity to serve on the IMS Council and to contribute to accomplish these tasks.
Professor of Statistics and Department Chair, Department of Statistics, Columbia University
Education
- B.S. in Applied Mathematics, 1998, Tsinghua University
- Ph.D. in Statistics, 2002, Columbia University
Research Interests
- Statistical Machine Learning
- Social Network Analysis
- Bayesian modeling
- Data Science Education
- Interdisciplinary Collaboration and Team Science
Previous Service to the Profession
- Member, Committee of Representatives to AAAS, American Statistical Association; 2021-present
- Member, U.S. National Committee for Mathematics (USNC/M); 2021-present
- Member, Nomination Committee, Institute of Mathematical Statistics (IMS); 2021-2022
- Member, Program Committee, ACM-IMS Foundations of Data Science; 2020
- Chair-elect (2018), Chair (2019), Past-Chair (2020), Section on Statistical Learning and Data Science, American Statistical Association; 2018-2020
- Member, Board of directors, International Chinese Statistical Association (ICSA); 2014-2017
- Member, Board of directors, International Chinese Statistical Association (ICSA); 2014-2017
Brief Statement
I am deeply honored to be nominated for the IMS council. In this dynamic era of AI and data-intensive research, IMS holds immense potential to shape the future of Statistics. With my background in interdisciplinary research and commitment to research-education integration, I am eager to contribute to IMS’s mission of advancing our profession and scaling up the impact of Statistics to drive innovation across disciplines.
Education
- B.Sc. in Physics, 1996, Peking University, China
- M.Sc. in Statistics, 2000, Stanford University, U.S.A.
- Ph.D. in Statistics, 2003, Stanford University, U.S.A.
Research Interests
- Statistical machine learning
- Statistical network analysis
- Statistical modeling in health and science
Previous Service to the Profession
- 2022-2024 Editor-in-Chief, Annals of Applied Statistics
- Associate Editor: JMLR (2020-), JCGS (2012-2021), JASA (2011-2021), Biometrika (2011-2015), CJS (2009-2012)
- 2024 IMS Program Chair for Joint Statistical Meetings
- 2020-2022 COS Representative for the Statistical Learning and Data Science Section, ASA
- 2019-2021 Program Committee, ICSA
- 2014-2017 IMS Committee on Travel Awards
- 2013 Program Chair, ICSA International Conference
- 2011-2013 Chair-Elect and Chair, Statistical Learning and Data Science Section, ASA
Brief Statement
I am honored to be nominated for the IMS council. If elected, I will work vigorously with the council to advance the goals of IMS. In this AI era, while the statistical community increasingly intersects with machine learning and data science, we have significant steps to make in enhancing our research leadership and improving our work’s visibility and impact. It is important to foster dialogue across disciplines, integrate new developments into our curricula, and nurture our members’ involvement in IMS functions. There are many challenges ahead. I am committed to working with the council to take on these challenges.