
Hirotugu Akaike was a Japanese statistician. In the early 1970s, he formulated the Akaike information criterion (AIC). AIC is now widely used for model selection, which is commonly the most difficult aspect of statistical inference; additionally, AIC is the basis of a paradigm for the foundations of statistics. Akaike also made major contributions to the study of time series. As well, he had a large role in the general development of statistics in Japan.

Oskar Johann Viktor Anderson was a Russian-German mathematician of Baltic German descent. He is best known for his work on mathematical statistics and econometrics.

Sudipto Banerjee is an Indian-American statistician best known for his work on Bayesian hierarchical modeling and inference for spatial data analysis. He is currently Professor and Chair of the Department of Biostatistics in the School of Public Health at the University of California, Los Angeles (UCLA).

Gérard Ben Arous is a French mathematician, specializing in stochastic analysis and its applications to mathematical physics. He served as the director of the Courant Institute of Mathematical Sciences at New York University from 2011 to 2016.

Rabindra Nath Bhattacharya is a mathematician/statistician at the University of Arizona. He works in the fields of probability theory and theoretical statistics where he has made fundamental contributions to long-standing problems in both areas. Most notable are (1) his solution to the multidimensional rate of convergence problem for the central limit theorem in his Ph.D. thesis published in the Bulletin of the American Mathematical Society and further elaborated in a research monograph written jointly with R. Ranga Rao and (2) the solution of the validity of the formal Edgeworth expansion in collaboration with J.K. Ghosh in 1978.. He has also contributed significantly to the theory and application of Markov processes, including numerous co-authored papers on problems in groundwater hydrology with Vijay K. Gupta, and in economics with Mukul Majumdar. Most recently his research has focused on nonparametric statistical inference on manifolds and its applications. He is a co-author of three graduate texts and four research monographs. A comprehensive selection of Bhattacharya's work is available in a special 2016 Contemporary Mathematicians volume published by Birkhäuser. He is married to Bithika Gouri Bhattacharya, with a daughter, a son, and four grandchildren.

Lawrence David Brown was Miers Busch Professor and Professor of Statistics at the Wharton School of the University of Pennsylvania in Philadelphia, Pennsylvania. He is known for his groundbreaking work in a broad range of fields including decision theory, recurrence and partial differential equations, nonparametric function estimation, minimax and adaptation theory, and the analysis of census data and call-center data.

Florentina Bunea is a Romanian-American statistician, interested in machine learning, the theory of empirical processes, and high-dimensional statistics. She is a professor at Cornell University.

Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Tony Cai was awarded the COPSS Presidents' Award.

Sourav Chatterjee is a mathematician, specializing in mathematical statistics and probability theory. Chatterjee is credited with work on the study of fluctuations in random structures, concentration and super-concentration inequalities, Poisson and other non-normal limits, first-passage percolation, Stein's method and spin glasses. He has received numerous prestigious awards including a Sloan Fellowship in mathematics, Tweedie Award, Rollo Davidson Prize, Doeblin Prize, Loève Prize, and Infosys Prize in mathematical sciences. He was an invited speaker at the International Congress of Mathematicians in 2014.

Ivan Zachary Corwin is a professor of mathematics at Columbia University.

Thomas M. Cover [ˈkoʊvər] was an information theorist and professor jointly in the Departments of Electrical Engineering and Statistics at Stanford University. He devoted almost his entire career to developing the relationship between information theory and statistics.

Gertrude Mary Cox was an American statistician and founder of the department of Experimental Statistics at North Carolina State University. She was later appointed director of both the Institute of Statistics of the Consolidated University of North Carolina and the Statistics Research Division of North Carolina State University. Her most important and influential research dealt with experimental design; In 1950 she published the book Experimental Designs, on the subject with W. G. Cochran, which became the major reference work on the design of experiments for statisticians for years afterwards. In 1949 Cox became the first woman elected into the International Statistical Institute and in 1956 was President of the American Statistical Association.

Alexander Philip Dawid is Emeritus Professor of Statistics of the University of Cambridge, and a Fellow of Darwin College, Cambridge. He is a leading proponent of Bayesian statistics.

Charmaine B. Dean is a statistician from Trinidad. She is the vice president for research at the University of Waterloo, a professor of statistical and actuarial sciences at both Waterloo and Western University, the former president of the International Biometric Society, the former President of the Statistical Society of Canada. Her research interests include longitudinal studies, survival analysis, spatiotemporal data, heart surgery, and wildfires.

Dipak Kumar Dey is an Indian-American statistician best known for his work on Bayesian methodologies. He is currently the Board of Trustees Distinguished Professor in the Department of Statistics at the University of Connecticut. Dey has an international reputation as a statistician as well as a data scientist. Since he earned a Ph.D. degree in statistics from Purdue University in 1980, Dey has made tremendous contributions to the development of modern statistics, especially in Bayesian analysis, decision science and model selection. Dey has published more than 10 books and edited volumes, and over 260 research articles in peer-refereed national and international journals. In addition, the statistical methodologies that he has developed has found wide applications in a plethora of interdisciplinary and applied fields, such as biometry and bioinformatics, genetics, econometrics, environmental science, and social science. Dey has supervised 40 Ph.D. students, and presented more than 200 professional talks in colloquia, seminars and conferences all over the world. During his career, Dey has been a visiting professor or scholar at many institutions or research centers around the world, such as Macquarie University, Pontificia Universidad Católica de Chile,, University of São Paulo, University of British Columbia, Statistical and Applied Mathematical Sciences Institute, etc. Dey is an elected fellow of the American Association for the Advancement of Science, the American Statistical Association, the Institute of Mathematical Statistics, the International Society for Bayesian Analysis and the International Statistical Institute.

Erik Gustav Elfving was a Finnish mathematician and statistician. In statistics, he wrote pioneering papers about the optimal design of experiments. He made other notable contributions to the mathematical sciences and to Finnish universities.

Alison Mary Etheridge is Professor of Probability and Head of the Department of Statistics, University of Oxford. Etheridge is a fellow of Magdalen College, Oxford.
Steven Neil Evans is an Australian-American statistician and mathematician, specializing in stochastic processes.

David Amiel Freedman was Professor of Statistics at the University of California, Berkeley. He was a distinguished mathematical statistician whose wide-ranging research included the analysis of martingale inequalities, Markov processes, de Finetti's theorem, consistency of Bayes estimators, sampling, the bootstrap, and procedures for testing and evaluating models. He published extensively on methods for causal inference and the behavior of standard statistical models under non-standard conditions – for example, how regression models behave when fitted to data from randomized experiments. Freedman also wrote widely on the application—and misapplication—of statistics in the social sciences, including epidemiology, public policy, and law.

Nina Gantert is a Swiss and German probability theorist, and a Fellow of the Institute of Mathematical Statistics. She holds the chair for probability in the department of mathematics at the Technical University of Munich, a position she has held since 2011 when the chair was established.

Sara Anna van de Geer is a Dutch statistician who is a professor in the department of mathematics at ETH Zurich. She is the daughter of psychologist John P. van de Geer.

Hilda Geiringer, also known as Hilda von Mises and Hilda Pollaczek-Geiringer, was an Austrian mathematician.

Andrew Gelman is an American statistician, professor of statistics and political science at Columbia University. He earned an S.B. in mathematics and in physics from MIT, where he was a National Merit Scholar, in 1986. He then earned his Ph.D. in statistics from Harvard University in 1990 under the supervision of Donald Rubin.

Christian Genest is a professor in the Department of Mathematics and Statistics at McGill University, where he holds a Canada Research Chair. He is the author of numerous research papers in multivariate analysis, nonparametric statistics, extreme-value theory, and multiple-criteria decision analysis.

Ronald Kay Getoor was an American mathematician.
Bhaskar Kumar Ghosh was an Indian-American statistician especially known for his contributions to sequential analysis.

Irène Gijbels is a mathematical statistician at KU Leuven in Belgium, and an expert on nonparametric statistics. She has also collaborated with TopSportLab, a KU Leuven spin-off, on software for risk assessment of sports injuries.

Alice Guionnet is a French mathematician known for her work in probability theory, in particular on large random matrices.

Trevor John Hastie is a South African and American statistician and computer scientist. He is currently serving as the John A. Overdeck Professor of Mathematical Sciences and Professor of Statistics at Stanford University. Hastie is known for his contributions to applied statistics, especially in the field of machine learning, data mining, and bioinformatics. He has authored several popular books in statistical learning, including The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Hastie has been listed as an ISI Highly Cited Author in Mathematics by the ISI Web of Knowledge.

Frank den Hollander is a Dutch mathematician.

Sir Maurice George Kendall, FBA was a British statistician, widely known for his contribution to statistics. The Kendall tau rank correlation is named after him.

Jack Carl Kiefer was an American mathematical statistician at Cornell University and the University of California Berkeley. His research interests included the optimal design of experiments, which was his major research area, as well as a wide variety of topics in mathematical statistics.

Claudia Klüppelberg is a German mathematical statistician and applied probability theorist, known for her work in risk assessment and statistical finance. She is a professor emerita of mathematical statistics at the Technical University of Munich.

Tjalling Charles Koopmans was a Dutch-American mathematician and economist. He was the joint winner with Leonid Kantorovich of the 1975 Nobel Memorial Prize in Economic Sciences for his work on the theory of the optimum allocation of resources. Koopmans showed that on the basis of certain efficiency criteria, it is possible to make important deductions concerning optimum price systems.

Gunnar Kulldorff was a Swedish statistician, specializing in estimation theory, survey sampling and order statistics. From 1989 to 1991, he was the president of the International Statistical Institute.

Thomas G. Kurtz is an emeritus professor of Mathematics and Statistics at University of Wisconsin-Madison known for his research contributions to many areas of probability theory and stochastic processes. In particular, Prof. Kurtz’s research focuses on convergence, approximation and representation of several important classes of Markov processes. His findings appear in scientific disciplines such as systems biology, population genetics, telecommunications networks and mathematical finance.

Eugene Lukacs was a Hungarian-American statistician notable for his work in characterization of distributions, stability theory, and being the author of Characteristic Functions, a classic textbook in the field.

Jesper Møller is a Danish mathematician.

Yuval Peres is a mathematician known for his research in probability theory, ergodic theory, mathematical analysis, theoretical computer science, and in particular for topics such as fractals and Hausdorff measure, random walks, Brownian motion, percolation and Markov chain mixing times. He was born in Israel and obtained his Ph.D. at the Hebrew University of Jerusalem in 1990 under the supervision of Hillel Furstenberg. He was a faculty member at the Hebrew University and the University of California at Berkeley, and a Principal Researcher at Microsoft Research in Redmond, Washington. Peres has been accused of sexual harassment by several female scientists.

Harold Vincent Poor FRS FREng is the Michael Henry Strater University Professor of Electrical Engineering at Princeton University, where he is also the Interim Dean of the School of Engineering and Applied Science. He is a specialist in wireless telecommunications, signal processing and information theory. He has received many honorary degrees and election to national academies. He was also President of IEEE Information Theory Society (1990). He is on the Board of Directors of the IEEE Foundation.

Kavita Ramanan is a probability theorist who works as a professor of applied mathematics at Brown University.

Nancy Margaret Reid is a Canadian theoretical statistician.

Gesine Reinert is a University Professor in Statistics at the University of Oxford. She is a Fellow of Keble College, Oxford, a Fellow of the Alan Turing Institute, and a Fellow of the Institute of Mathematical Statistics. Her research concerns the probability theory and statistics of biological sequences and biological networks.

Jeffrey Seth Rosenthal is a Canadian statistician and author. He is a professor in the University of Toronto's Department of Statistics, cross-appointed with Department of Mathematics. He has written numerous research papers about the theory of Markov chain Monte Carlo and other statistical computation algorithms, many joint with Gareth O. Roberts. He received the CRM-SSC Prize in 2006, the COPSS Presidents' Award in 2007, the Statistical Society of Canada Gold Medal in 2013, and a Faculty of Arts & Science Outstanding Teaching Award in 1998. He was elected a Fellow of the Institute of Mathematical Statistics in 2005, and of the Royal Society of Canada in 2012.

Peter J. Rousseeuw is a statistician known for his work on robust statistics and cluster analysis. He obtained his PhD in 1981 at the Vrije Universiteit Brussel, following research carried out at the ETH in Zurich in the group of Frank Hampel, which led to a book on influence functions. Later he was professor at the Delft University of Technology, The Netherlands, at the University of Fribourg, Switzerland, and at the University of Antwerp, Belgium. Currently he is professor at KU Leuven, Belgium. He is a fellow of the Institute of Mathematical Statistics (1993) and the American Statistical Association (1994). His former PhD students include A. Leroy, H. Lopuhäa, G. Molenberghs, C. Croux, M. Hubert, S. Van Aelst and T. Verdonck.

Richard John Samworth is the Professor of Statistical Science and the Director of the Statistical Laboratory, University of Cambridge, and a Teaching Fellow of St John's College, Cambridge. He was educated at St John's College, Cambridge. His main research interests are in nonparametric and high-dimensional statistics. Particular topics include shape-constrained density estimation and other nonparametric function estimation problems, nonparametric classification, clustering and regression, the bootstrap and high-dimensional variable selection problems.

Gordon Douglas Slade is a Canadian mathematician, specializing in probability theory.

Gábor J. Székely is a Hungarian-American statistician/mathematician best known for introducing energy statistics (E-statistics). Examples include: the distance correlation, which is a bona fide dependence measure, equals zero exactly when the variables are independent; the distance skewness, which equals zero exactly when the probability distribution is diagonally symmetric; the E-statistic for normality test; and the E-statistic for clustering.

Alain-Sol Sznitman is a French mathematician who works as a professor of mathematics at ETH Zurich. His research concerns probability theory and mathematical physics.

Robert Tibshirani is a professor in the Departments of Statistics and Biomedical Data Science at Stanford University. He was a professor at the University of Toronto from 1985 to 1998. In his work, he develops statistical tools for the analysis of complex datasets, most recently in genomics and proteomics.

Howell Tong is a pioneer and an acknowledged authority in the field of nonlinear time series analysis, linking it with deterministic chaos. He is the father of the threshold time series models, which have extensive applications in ecology, economics, epidemiology and finance.

Michael Barrett Woodroofe is an American probabilist and statistician. He is an emeritus professor of statistics and of mathematics at the University of Michigan, where he was the Leonard J. Savage Professor until his retirement. He is noted for his work in sequential analysis and nonlinear renewal theory, in central limit theory, and in nonparametric inference with shape constraints.

Linda Zhao is a Chinese-American statistician. She is a Professor of Statistics and at the Wharton School of the University of Pennsylvania. She is a Fellow of the Institute of Mathematical Statistics. Zhao specializes in modern machine learning methods.