Congratulations to the 2022 Class of IMS Fellows!
The designation of IMS Fellow has been a significant honor for over 85 years. Each Fellow has demonstrated distinction in research in statistics or probability or has demonstrated leadership that has profoundly influenced the field.
Jan Beran, University of Konstanz
For pioneering contributions to the statistical analysis of long-memory processes, and for seminal research monographs that have immensely influenced research on long-memory processes during the past 25 years.
Wlodzimierz Bryc, University of Cincinnati
For fundamental contributions to the theory of large deviations and to the study of quadratic harnesses.
Ricardo Cao, Universidade da Coruña
For fundamental contributions to the theory and practice of bootstrapping and nonparametric function estimation, and for distinguished service to the international statistical community.
Matias D. Cattaneo, Princeton University
For seminal contributions to nonparametric, semiparametric and high-dimensional estimation and inference theory and methods, with notable applications to causal inference and program evaluation; for statistical software development; and for interdisciplinary professional service.
Francesca Chiaromonte, The Pennsylvania State University & Sant’Anna School of Advanced Studies, Pisa Italy
For outstanding contributions to methodology for the analysis of large, complex and structured data, in particular to the fields of sufficient dimension reduction and envelope model, for outstanding interdisciplinary work in the “Omics” and in the biomedical sciences, and for leadership in interdisciplinary training and mentoring efforts.
Arnoldo Frigessi, University of Oslo, and Oslo University Hospital
For methodological contributions particularly to Bayesian statistics, innovative work in a variety of areas of modern applied research, and dedicated service to the statistical profession, including advancement of the level of statistical expertise in developing countries.
Haoda Fu, Eli Lilly and Company
For broad scientific contributions to statistics through machine learning, personalized medicine, survival analysis, and artificial intelligence; For strong leadership in applications of statistics in medical field; and for contributions to the profession.
Masahito Hayashi, Southern University of Science and Technology and Nagoya University
For deep and influential contributions to quantum statistics and quantum information theory.
Haiyan Huang, University of California, Berkeley
For outstanding research in applied statistics, computational biology and applied probability and major contributions to institutional establishment of computational biology within data science.
Ying Hung, Rutgers University
For fundamental contributions to design, statistical analysis, and uncertainty quantification of computer experiments with applications in cell biology.
David R. Hunter, Pennsylvania State University
For fundamental contributions to the theory and practice of statistical computing; for major contributions to statistical modeling of networks, and mixture models; for notable contributions to the teaching of statistics; and for service to the profession.
Alan Julian Izenman, Temple University
For broad and sustained work in the theory and application of multivariate analysis, and for work on applying statistical methods to legal issues that affect society.
Zhezhen Jin, Columbia University
For ground-breaking contributions to important areas of statistics and biostatistics, including survival analysis, resampling methods, smoothing methods and statistical computing, and for dedicated and leadership service to the statistics profession.
Galin L. Jones, University of Minnesota
For fundamental contributions to Statistical computation, Markov chain Monte Carlo, and Bayesian methods, and for superb service to the profession.
Ruth King, University of Edinburgh
For significant contributions to the analysis of capture-recapture-type data, hidden Markov models, state-space models, integrated models, Monte Carlo and Bayesian methods, efficient model-fitting algorithms and missing data; and for leadership at the University of Edinburgh, the National Centre for Statistical Ecology and International Biometrics Society.
Jialiang Li, National University of Singapore
For significant contributions to nonparametric statistics, change point analysis, personalized medicine, survival analysis, and diagnostic medicine; and for a strong commitment to the advancement of statistical science through interdisciplinary research and professional service.
Pengfei Li, University of Waterloo
For ground-breaking and pioneering research contributions to the EM-test for the order of finite mixture models; for original and creative methodological developments in the areas of the empirical likelihood, density ratio models, statistical genetics, non-probability sampling; for exceptional research productivity; and excellence in statistical education.
Shujie Ma, University of California, Riverside
For outstanding contributions to statistical methodology and theory; especially in non-parametric and semi-parametric machine learning methods for massive datasets, and for excellent services to the statistical editorial boards and to the profession.
Antonietta Mira, Università della Svizzera italiana, Switzerland and University of Insubria
For excellence in computational aspects of Bayesian statistics, for service to professional societies, and for innovative contributions in statistics communication and outreach.
Pietro Muliere, Bocconi University
For excellent research contributions to nonparametric Bayesian statistics, inspirational teaching, and steadfast long-term leadership of statistics research programs at both the national and international levels.
Jan Obloj, University of Oxford
For pioneering contributions in robust financial mathematics and related advances in probability theory and statistics, including theoretical and computational aspects of Skorokhod embeddings and martingale optimal transport problems.
Efstathios Paparoditis, University of Cyprus
For outstanding research in nonparametric statistics, including the development of different resampling methods for time series analysis; and for exemplary service to our profession and leadership at the University of Cyprus.
Limin Peng, Emory University
For innovative and significant contributions to statistical methodology for survival analysis, quantile regression, and high-dimensional inference, and for dedicated professional service.
Sonia Petrone, Bocconi University
For significant and impacting contributions to the foundations of Bayesian statistics and Bayesian nonparametric inference and prediction, as well as long-standing professional service and dedicated mentoring throughout her career.
Joan Jian-Jian Ren, University of Maryland, College Park
For innovative and significant contributions to statistical methodology, especially in nonparametric likelihood inference, survival analysis and resampling methods, and for long-lasting and dedicated professional service.
Alessandro Rinaldo, Carnegie Mellon University
For pathbreaking work on algebraic statistics, high-dimensional inference, network theory, topological inference, privacy and clustering.
Sebastien Roch, University of Wisconsin-Madison
For contributions to the applications of probability theory in evolutionary biology.
Chiara Sabatti, Stanford University
For excellent research in statistical genetics; and leadership in defining a role for statistics in data science and developing educational pathways supporting data intensive science. For outreach efforts and commitment to increase research involvement of underrepresented minorities.
Bodhisattva Sen, Columbia University
For important contributions to nonparametric inference under shape constraints, optimal transport and its applications to Statistics, and the bootstrap.
Anuj Srivastava, Florida State University
For fundamental contributions to geometrical statistics, including shape analysis, functional data analysis and statistics on manifolds; and for leadership and service to the profession.
Jordan M. Stoyanov, Bulgarian Academy of Sciences
For contributions to the moment problem, and seminal and very influential monograph “Counterexamples in Probability”.
Cheng Yong Tang, Temple University
For outstanding contributions to statistical methodology, theory, and applications especially in empirical likelihood, high-dimensional statistical data analysis, longitudinal and dependent data analysis.
Ambuj Tewari, University of Michigan
For contributions to research at the interface of statistics and machine learning including online learning, bandit problems, and reinforcement learning, and for leadership in the emerging areas of mobile health and precision medicine.
Ryan Joseph Tibshirani, Carnegie Mellon University
For fundamental contributions to the applications, algorithms and inference problems related to LASSO and convex optimization methods; and conformal inference, high dimensional statistics and public health.
Ruodu Wang, University of Waterloo
For significant contributions to statistics and applied probability in operations research, risk management, and actuarial science; and highly influential interdisciplinary research bridging statistics and probability.
Daniela M. Witten, University of Washington
For substantial contributions to the field of statistical machine learning, with applications to biology; and for communicating the fundamental ideas in the field to a broad audience.
Jun Yan, University of Connecticut
For significant contributions to survival analysis and copula modeling; for high-impact technology transfer via statistical computing and software development; for influential applications in environmental sciences and public health; and for dedicated student mentoring and service to the profession.
Lan Zhang, University of Illinois at Chicago
For leadership in developing statistical concepts and methods for high-frequency data, and for conscientious mentoring and professional service.
Tian Zheng, Columbia University
For fundamental research on sparsity and variable importance, and for significant contributions to social network theory and to genetics.
Yong Zhou, East China Normal University
For outstanding contributions in semiparametric and nonparametric statistics, financial econometrics, and survival analysis; for dedicated and exemplary service to the profession; and for exceptional leadership in statistics education and development in China.