2025 Elected Officials Profiles
President
Professor of Statistical Science and Director of the Statistical Laboratory, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
Education
- B.A. with MMath, 2000, University of Cambridge
- PhD in Statistics, 2004, University of Cambridge
Research Interests
- Statistical methodology and theory
- Nonparametric inference under shape constraints
- High-dimensional statistical inference
- Missing data
- Subgroup selection
- Data perturbation techniques
- Changepoint estimation
- Unconditional and conditional independence testing
- Applications, especially in public health, genetics, archaeology and oceanography
Previous Service to the Profession
- Previous IMS service:
- Co-Editor, Annals of Statistics (2019-2021)
- Associate Editor, Annals of Statistics (2013-2018)
- Associate Editor, Statistical Science (2017-2018 and 2022-present)
- IMS Council (2012-2015)
- Council Subcommittee on Co-sponsored meetings (2012-2015)
- Council Subcommittee on Open Access (2013-2015)
- Committee to Select Editors (2017-2018 & 2022-2023); Chair (2023-present)
- Committee on Fellows (2024-present)
- Committee on Publications (2019-2021)
- Ad-hoc Committee on Publication Policies and Procedures (2016-2017)
- Committee on New Researchers (2007-2010).
- Selected other roles for the profession:
- Associate Editor, Journal of the Royal Statistical Society, Series B (2006-2014)
- Associate Editor, Biometrika (2010-2014)
- Associate Editor, Journal of the American Statistical Association — Theory and Methods (2017-2018)
- Associate Editor, SIAM Journal on Mathematics of Data Science (2018 & 2023-present)
- Associate Editor, Statistica Sinica (2011-2014)
- Vice-President for Academic Affairs, Royal Statistical Society (2024-present)
- Royal Statistical Society Council (2012-2015 & 2024-present)
- Royal Statistical Society Executive Committee (2024-present)
- COPSS Presidents’ Award Committee (2024-present)
- COPSS Leadership Academy Award Committee (2020-2023); Chair (2021-2022)
- Bernoulli Society Council (2017-2021)
- European Regional Committee of the Bernoulli Society (2010-2018); Chair (2015-2016)
- European Research Council Consolidator Grant panel (2023)
- Council for the Mathematical Sciences Board member (2024-present)
- Isaac Newton Institute Steering Committee (2024-present)
Brief Statement
It is a great honour to be nominated to become the next President of the IMS. I joined the society as a PhD student, and have always admired the professionalism with which it is run, thanks to the efforts of many individuals on its behalf. I plan to enhance the IMS’s commitment to promoting high-quality scholarship through its journals and conferences, supporting early career researchers and strengthening the discipline, ensuring that it remains at the forefront of innovation and inclusivity. A particular focus will be on further extending the society’s geographical and intellectual reach, as we navigate the opportunities and challenges posed by the AI era.
Council (3 Year Term)
You may view the profile for each council member by clicking on their name below.
Westgate Distinguished Professor of Decision Sciences and Statistical Sciences, Fuqua School of Business, Duke University
Education
- PhD MIT (2006)
- MSc IMPA (2002)
- BEng PUC-rio (1999)
Research Interests
- High-dimensional statistics
- Nonparametric and semiparametric inference
- Empirical processes
- Probability Theory
- Causal inference
- Distributional approximations (CLT, Bootstrap)
Previous Service to the Profession
- Associate Editor for The Annals of Statistics (2019 – 2024)
- Associate Editor for Journal of the Royal Statistical Society: Series B (2017-2021)
- Associate Editor for Journal of Econometrics (2017-2021)
- Associate Editor for Econometric Theory (2017-2021)
- Associate Editor for Journal of Business and Economic Statistics (2019-2021)
- Associate Editor for Management Science (2017-2020)
- Area Editor for Machine Learning and Data Science area of Operations Research (2018 – 2023)
- Chaired Lanchester Prize (2023), Lanchester Prize (2022)
Brief Statement
I am truly honored to be nominated for the IMS Council election. The IMS plays a vital role in advancing developments in statistics, probability, and their applications, shaping the field through its commitment to excellence. I am dedicated to supporting IMS’s mission and strengthening its leadership in the mathematical statistics community. Upholding the tradition of high scientific standards in IMS publications is essential, as is ensuring the society’s continued influence in the rapidly evolving AI and data science landscape. I look forward to contributing to IMS’s ongoing efforts to foster innovation, collaboration, and impactful research.
John Rock Professor of Population and Translational Data Science, Harvard T.H. Chan School of Public Health, and Professor of Biomedical Informatics, Harvard Medical School, Harvard University
Education
- D.Sc. Biostatistics, Harvard University, (1996–1999) Boston, MA
- B.Sc. Mathematics, University of Science and Technology of China, (1991–1995) P. R. China
Research Interests
- Statistical and machine learning for biomedical applications
- Semi-supervised and weakly supervised learning
- Transfer learning and multi-source learning
- Real world evidence and causal inference
- Electronic health records data analysis
- Natural language processing
- Knowledge graph and representation learning
Previous Service to the Profession
- National and International Committee:
- IMS Committee on the Brown and Zelen Awards (2024–2027)
- COPSS Presidents’ Award Committee (2020–2023)
- George W. Snedecor Award Selection Committee (2012–2016)
- Recombinant DNA Advisory Committee (RAC), NIH (2011–2015)
- Program Committee Chair, International Chinese Statistical Association (2012–2013)
- Education Advisory Committee, International Biometric Society ENAR (2010)
- Program Committee Member and Biometrics Section Chair, International Chinese Statistical Association (2011- 2012)
- Executive Committee co-Chair, 2012 ICSA Applied Statistical Symposium
- ASA Biometrics Section Program Chair 2011 Joint Statistical Meeting
- Organizing Committee, IMS-China International Conference on Stat. & Prob. (2009)
- IMS Program Chair, International Biometrics Society ENAR (2008–2009)
- Advisory / Editorial Board member:
- Patterns, Cell Press (2024 –)
- ESMO Real world Data and Digital oncology (2023 –)
- Associate Editor:
- Journal of the American Statistical Association Theory and Methods (2011–2017, 2023–)
- Life Time Data Analysis (2010–2018)
- Statistics in Biosciences (2009-2015-)
- Journal of the Royal Statistical Society Series B (Statistical Methodology) (2014–2017)
- Journal of the American Statistical Association Applications and Case Studies (2010–2012)
- Biometrics (2008–2012)
Brief Statement
I am honored to be nominated for the IMS Council election at this pivotal moment in the evolution of our field. The IMS community has been instrumental in shaping my journey as a statistical scientist, and I deeply value its role in advancing statistical science by bridging theory and implementation to drive societal impact. As our discipline expands, I am eager to contribute to ensuring that IMS remains a dynamic and inclusive hub, fostering collaboration across diverse research areas while promoting end-to-end research capability—from theoretical innovation to practical deployment. I am particularly passionate about mentorship, interdisciplinary connections, and broadening participation, recognizing that early career researchers will drive the next era of innovation. My goal is to help shape the future of IMS by strengthening its societal relevance, methodological rigor, and translational impact, ensuring that our contributions not only advance statistical science but also create meaningful change in the world.
Professor of Statistics, Department of Pure Mathematics and Mathematical Statistics, University of Cambridge
Education
- 2009, California Institute of Technology, BS in mathematics with minor in English
- 2013, University of California, Berkeley, MS in computer science
- 2014, University of California, Berkeley, PhD in statistics
Research Interests
- High-dimensional statistics
- Optimization
- Random graphs and networks
- Robustness
- Differential privacy
Previous Service to the Profession
- IMS-Cambridge University Press Textbooks/Monograph statistics series editor (2025-2028)
- IMS Committee on Special Lectures (2020-2023)
- IMS Committee on Nominations (2017-2018, 2021-2022, 2022-2023)
- IMS Committee on New Researchers (2014-2017)
- ASA Publications officer, Section on Nonparametric Statistics (2017-2020)
- Royal Statistical Society research committee (2024-present)
- Area chair, Annals of Applied Statistics (2025-present)
- Current AE: Foundations and Trends in Machine Learning (2024-present), SIAM Journal on Mathematics of Data Science (2024-present), ACM/IMS Journal of Data Science (2023-present), Statistical Science (2023-present), New England Journal of Statistics in Data Science (2021-present), Book Reviews of the American Mathematical Society (2021-present) Journal of the American Statistical Association (2019-present), Foundations of Data Science (2019-present)
- Past AE: Journal of Machine Learning Research (2022-2024), Sankhya Series A (2022-2024), Annals of the Institute of Statistical Mathematics (2020-2024), Statistica Sinica (2017-2023)
- Organizer, Probability and Statistics of Discrete Structures (semester program), Simons Laufer Mathematical Institute, Spring 2025
- Organizer, Modern Paradigms on Generalization (semester program), Simons Institute, Fall 2024
- Organizer, Statistical Scalability (semester program), Isaac Newton Institute, Spring 2018
Brief Statement
I am truly honored to be nominated for the IMS Council. As statistics continues to occupy a critical role in the evolution of modern machine learning and data science, I believe I am uniquely positioned to help influence the direction of the IMS. I am equally comfortable in scientific meetings among statisticians as among probabilists, theoretical computer scientists, and information theorists, and I believe my connections and interdisciplinary perspectives would enhance the IMS community. I also have strong connections to the research communities in both the US and Europe.
In both my personal and professional life, I have learned to become a good listener; I believe my connections to different research communities would enable me to gather concerns from diverse subgroups and help implement positive changes. Finally, I have a longstanding commitment to mentorship of junior researchers and women, and I would be a strong advocate of these groups in decision-making on behalf of the council.
Education
- PhD, UC Berkeley, 2007
- BSc, Athens University of Economics and Business, 2004
Research Interests
- Functional data analysis
- Geometrical statistics
- Inference for random processes
- Statistical inverse problems
- Statistical optimal transport
- Statistics in the natural sciences
Previous Service to the Profession
- President of the Bernoulli Society (2023-2025)
- Member of the ISI Council (2017-2021)
- IMS Task Force on Review of IMS Named and Medallion Lectures (2020-2021)
- IMS Committee on Nominations (2020-2021)
- IMS Committee to Select Editors (2020-2021)
- Publicity Chair of the Bernoulli Society (2018–2019)
- Editor, Bernoulli News (2011-2015)
- Associate Editor for the Annals of Statistics (2018-2021)
- Associate Editor for the Annals of Applied Statistics (2011-2018)
- Associate Editor for Biometrika (2011–)
- Associate Editor for the Electronic Journal of Statistics (2010–2018 and 2022-)
- Associate Editor for JASA Theory & Methods (2017–)
Brief Statement
In an era of scientific shifts, where statistics meets data science, and probability looks toward pure mathematics, it is crucial to maintain our discipline’s unity and distinct scientific culture. The IMS leads the way in this regard, curating and uniting our disciplines’ leading journals, awards, and conferences according to our core values. Owning “the means of production” and organising our scientific lives for ourselves rests on the voluntary service of the scientific collective — if we don’t do it, others will do it for us! These are key principles that I see the IMS embodying and that would guide me in Council.
Bruce Lindsay Professor of Econometrics and Statistical in the Wallman Society of Fellows, Booth School of Business, University of Chicago
Education
- PhD in Biostatistics, 2013, Erasmus University Rotterdam (The Netherlands)
- MSc in Biostatistics, 2009, Universiteit Hasselt (Belgium)
- MSc in Mathematical Statistics, 2010, Charles University (Czechia)
- BSc in General Mathematics, 2007, Charles University (Czechia)
Research Interests
- Bayesian statistics
- Non-parametric Bayes
- High-dimensional decision theory
- Machine Learning
Previous Service to the Profession
- Associate Editor for the Annals of Statistics (2022-present)
- Associate Editor for the Journal of the American Statistical Association (2023-present)
- Associate Editor for the Journal of the Royal Statistical Society (2023-present)
- Associate Editor for Operations Research (2023-present)
- Program Chair of the Section on Bayesian Statistical Science of the American Statistical Association in 2020
- NSF Review Panel in 2019
- 2023-2024 IMS Committee to select editors of AoS
Brief Statement
I am honored to be considered as one of the nominees for election to the IMS council. As an umbrella institution for both Probability and Statistics, it is important that IMS keeps thriving in the era of data science and AI and continues to be a dynamic community of supportive researchers working on cutting-edge topics that can create a lasting value for the society. I am personally vested in making IMS approachable, resourceful and welcoming to future generations of researchers from various backgrounds.