Congratulations to the 2021 Class of IMS Fellows!
Ery Arias-Castro, University of California, San Diego
For fundamental contributions to nonparametric statistics including clustering, graphs and networks, sparse estimation, and statistical learning; and for extensive editorial service.
Yuri Bakhtin, Courant Institute of Mathematical Sciences at New York University
For the groundbreaking work on random dynamical systems including stochastic PDEs.
Prabir Burman, University of California, Davis
For contributions to model selection, nonparametric estimation for independent and dependent observations, multifold cross-validation, and repeated learning-testing methods for estimation of prediction errors.
Ismaël Castillo, Sorbonne University
For path-breaking contributions to the theory of Bayesian nonparametrics and high-dimensional Bayesian inference.
Kwun Chuen Gary Chan, University of Washington
For outstanding contributions to the methodology of preferential sampling design, observational data, and complex lifetime data; for substantive leadership in the application of statistics in public health and biomedical research.
Sandrine Dudoit, University of California, Berkeley
For excellent research on the statistical foundations and implementation of statistical genomic methods with particular focus on high-throughput methods for gene expression profiling; for development of open-source statistical software for biomedical data analysis, especially her role in founding and contributing to Bioconductor, an open-source development platform; for excellent teaching and graduate and postgraduate student mentoring; and for extraordinary university leadership.
Charles J. Geyer, University of Minnesota
For fundamental contributions to Markov chain Monte Carlo methods, likelihood methods, and statistics genetics.
Alan Hammond, University of California, Berkeley
For making major advances in two of the most difficult and deepest questions of modern probability arising from central questions of statistical physics, and for substantial progress on rigorous study of self-avoiding walk.
Scott H. Holan, University of Missouri
For significant research contributions to time series, spatial statistics, spatio-temporal modeling, for applications to official statistics, and for his dedicated service to the statistics profession.
Mark Holmes, University of Melbourne
For wide-ranging and creative research in theoretical and applied probability.
Jian Huang, University of Iowa
For fundamental contributions to high-dimensional statistics, survival analysis, and statistical genetics and genomics.
Gareth James, University of Southern California
For seminal contributions to functional data analysis, high-dimensional statistics, and statistical learning.
Nicole Alana Lazar, Pennsylvania State University
For significant contributions to empirical likelihood and neuroimaging analysis, and for leadership to the profession.
Jing Lei, Carnegie Mellon University
For fundamental and innovative contributions to sparse Principal Component Analysis, conformal prediction, network analysis, and spectral methods, optimal transport, cross-validation, and differential privacy, as well as applied work on the analysis of tissue and single-cell RNA sequencing data and autism.
Lexin Li, University of California, Berkeley
For influential contributions to sufficient dimension reduction, tensor regression, and neuroimaging applications, and for outstanding service to the profession.
Yehua Li, University of California, Riverside
For outstanding contributions to the theory and methods of functional data analysis, especially on non and semiparametric regression methods, dimension reduction, model selection, and statistical inference on both independent and spatially dependent functional data.
Huazhen Lin, Southwestern University of Finance and Economics
For outstanding contributions to theory and methods for survival analysis and semiparametric/nonparametric modeling; for dedicated service to the profession; and for strong leadership in statistics education and development in China.
Steven MacEachern, The Ohio State University
For fundamental and influential contributions to Bayesian statistics and inference, especially in the area of Bayesian nonparametrics, for dedicated mentoring of students and young researchers, and service to the profession.
Marianthi Markatou, University at Buffalo
For outstanding accomplishments on fundamental research in robust statistics and for a strong commitment to the advancement of statistical science through interdisciplinary research and professional service.
Florence Merlevède, Université Gustave Eiffel, France
For outstanding contributions to the field of dependent random variables, especially for fundamental results concerning the conditional limit theorems, rates of convergence in the central limit theorem, and large random matrices.
XuanLong Nguyen, University of Michigan
For contribution to the profession as a teacher, editor, and researcher, for contribution to the analysis of data, models both in theory and practice, and for leadership in the understanding of mixture models and hierarchical models.
Daniel J. Nordman, Iowa State University
For fundamental contributions to the theory and applications of computer-intensive nonparametric methods, including the Bootstrap and Empirical Likelihood, for time series and spatial data.
Natesh Pillai, Harvard University
For significant contributions to Markov Chain Monte Carlo Methods, mixing times of Markov chains and bridging the gap between applied probability, statistics, and computation.
Philippe Rigollet, Massachusetts Institute of Technology
For outstanding contributions to the analysis of statistical versus computational trade-offs, to the theory of aggregation, and to statistical optimal transport.
Johan Segers, UCLouvain
For pathbreaking work on extremes of time series and his fundamental contributions to the theory and application of copulas.
Thomas A. Severini, Northwestern University
For distinguished contributions to semiparametric inference, asymptotic theory of likelihood inference, and Bayes/frequentist comparative inference.
Yiyuan She, Florida State University
For novel and sustained contributions to high dimensional and robust statistics, for excellence in mentoring, instruction, and service to the profession.
Aleksandra (Seša) Slavković, Pennsylvania State University
For novel contributions to the development of statistical disclosure techniques and algebraic methods, for contributions to graduate research, and for contributions to editorial and other publication activities of the IMS and other statistical organizations.
Peter Xuekun Song, University of Michigan
For pathbreaking developments in likelihood inference, for outstanding contribution in medical research, and for exceptional service and mentorship.
Rui Song, North Carolina State University
For significant contributions to machine learning methods, dynamic treatment regime, and efficient and non-standard statistical inference.
Zhiqiang Tan, Rutgers, The State University of New Jersey
For seminal contributions to statistical theory and practice, including Monte Carlo sampling and causal inference, to significant contributions in collaborative research, and for contributions to the profession, including via editorial and organizational efforts.
Nian-Sheng Tang, Yunnan University
For excellent research accomplishments on statistical inference with missing data and distinguished contributions to the promotion of statistics in developing regions.
Balint Virag, University of Toronto
For remarkable contributions to graph and group theory, random matrix theory, random Schrodinger operators, and Kardar-Parisi-Zhang universality.
Xiao Wang, Purdue University
For significant contributions to nonparametric statistics, shape-restricted inference, and functional data analysis, and for dedicated professional service and students’ mentoring.
Changbao Wu, University of Waterloo
For important and original research contributions to survey sampling theory and official statistics, especially for the development of model-calibration theory and techniques, empirical likelihood methods for complex surveys, and robust inferential procedures for analyzing non-probability samples.
Min-ge Xie, Rutgers, The State University of New Jersey
For outstanding contributions to statistical research especially confidence distributions, fusion learning, meta-analysis, estimating equations, and statistical applications in biomedical sciences, industry, engineering, and environmental science. For exemplary service to the profession and university.
Guosheng Yin, The University of Hong Kong
For outstanding contributions in survival analysis, change-point detection and high-dimensional data analysis, and clinical trial methodologies, and for exemplary service to the profession.
Ruben H. Zamar, University of British Columbia
For fundamental contributions in Robust Statistics, introducing the Min-max bias estimates, cell contamination in High Dimensional data, and many other useful procedures for robust estimation in Multivariate data.
Zhengjun Zhang, University of Wisconsin–Madison
For significant contributions to extreme value statistics and risk management, including tail dependence measure and nonlinear dependence measure construction and inference, max-linear competing factor models, nonlinear time series models for high-frequency financial data; and for conscientious editorial and other services to the profession.
Wang Zhou, National University of Singapore
For significant contributions to limit theorems, empirical likelihood, random matrices, and Schramm-Loewner evolution.
Yijun Zuo, Michigan State University
For pioneering and path-breaking contributions to the area of data depth, theory and methodology, and its applications.