Invited Speakers at ICOSDA 22

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Barry C. Arnold

Professor Barry Arnold’s journey in statistics began in McMaster University from where he graduated in 1961 with a bachelor's degree in mathematics (statistics). He pursued the graduate program in statistics at Stanford University, and from there joined the faculty at Iowa State University. In 1979, Barry hung up his snow shovel, donated his winter coat to the Salvation Army, and moved to the University of California, Riverside. He became a distinguished professor in the Department of Statistics, from where he retired as Professor Emeritus.

Barry is a Fellow of the American Statistical Association, of the Institute of Mathematical Statistics and of the American Association for the Advancement of Science.

He is an elected member of the International Statistical Institute. A quick look through Barry's publications shows his broad interests, but with greater attention to Ordered Data, Distribution Theory - Univariate and Multivariate, Characterization Problems, Statistical Inference - Classical and Bayesian, Inequalities and Majorization Problems, and Multivariate Analysis. His more than 270 research papers have appeared in a broad spectrum of theoretical and applied journals. He has served or is serving as an editor or associate editor of many journals including Journal of Multivariate Analysis, Journal of the American Statistical Association, Sankhya, Communications in Statistics, Metron, and many others.

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Narayanaswamy Balakrishnan

Professor Balakrishnan is a Distinguished University Professor at McMaster University, Hamilton, Ontario, Canada. He completed his PhD in 1981 from the Indian Institute of Technology, Kanpur, India. He is a Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, Elected Member of the International Statistical Institute, Honorary Member of the Greek Statistical Institute, and many more, including the Professor C. R. Rao Lifetime Achievement Award in 2020, by the Indian Society for Probability and Statistics. His research interests include ordered data analysis, univariate and multivariate distribution theory, reliability theory, survival analysis, applied probability, stochastic orderings, nonparametric statistics, censoring methodology, and statistical inference. “Bala”, as he prefers to be called, has well over 75 thousand citations of his work and a H-Index of 87! He holds editorial positions in more than 20 scholarly and professional journals, as well as over 60 distinguished visiting professorship positions in many universities around the world. He has been awarded an Honorary Doctorate Degree from the National and Kapodistrian University of Athens, Greece.

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Jim Berger

Professor Berger received his Ph.D. degree in mathematics from Cornell University in 1974. He was a faculty member in the Department of Statistics at Purdue University until 1997, at which time he moved to the Department of Statistical Science at Duke University, where he is currently the Arts and Sciences Distinguished Professor Emeritus of Statistics. He was the founding director of the Statistical and Applied Mathematical Sciences Institute, serving from 2002-2010. Berger was president of the Institute of Mathematical Statistics during 1995-1996 and president of the International Society for Bayesian Analysis during 2004. His editorial activities include co-editorship of the Annals of Statistics during 1998-2000 and being a founding editor of the Journal on Uncertainty Quantification, serving from 2012-2015.

Berger has received Guggenheim and Sloan Fellowships, the COPSS President's Award in 1985, the Sigma Xi Research Award at Purdue University for contribution of the year to science in 1993, the COPSS Fisher Lecturer in 2001, the Wald Lecturer of the IMS in 2007 and the Wilks Award from the ASA in 2015. He was elected as foreign member of the Spanish Real Academia de Ciencias in 2002, elected to the USA National Academy of Sciences in 2003, was awarded an honorary Doctor of Science degree from Purdue University in 2004, and became an Honorary Professor at East China Normal University in 2011.

Berger's research has primarily been in Bayesian statistics, foundations of statistics, statistical decision theory, simulation, model selection, and various interdisciplinary areas of science and industry, including astronomy, geophysics, medicine, and validation of complex computer models. He has supervised 38 Ph.D. dissertations, published over 200 papers and has written or edited 16 books or special volumes.

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Susmita Datta

Dr. Susmita Datta is Professor at University of Florida (UF), Department of Biostatistics. She is the Co-Director of the Biostatistics, Epidemiology and Research Design Program (BERD) of UF Clinical and Translational Science Institute. Dr. Datta is widely (>100) published in peer reviewed journals. Her work has been continuously funded by the National Science Foundation and the National Institutes of Health. She is a fellow of the American Statistical Association (ASA), an elected member of the International Statistical Institute (ISI), and fellow of the American Association for the Advancement of Science (AAAS). Her research area includes bioinformatics, genomics, proteomics, metabolomics, lipidomics, clustering and classification techniques, infectious disease modeling, statistical issues in population biology, systems biology, survival analysis, multi-state models and big data analytics. She has recently published a book on “Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry” by Springer. Professor Datta is enthusiastic in promoting women in STEM fields and has served as President of Caucus for Women in Statistics (CWS) and is presently appointed to the Committee of Women in Statistics of ASA (COWIS). She is the founding executive committee member of the Women in Statistics and Data Science conference (WSDS).

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Christian Genest

Christian Genest is a professor in the Department of Mathematics and Statistics at McGill University (Montréal, Canada), 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. He is a recipient of the Statistical Society of Canada's Gold Medal for Research and was elected a Fellow of the Royal Society of Canada in 2015.

Genest is best known for developing models and statistical inference techniques for studying the dependence between variables through the concept of copula. He has designed, among others, various techniques for selecting, estimating and validating copula-based models through rank-based methods. His methodological contributions in multivariate analysis and extreme-value theory found numerous practical applications in finance, insurance, and hydrology.

Throughout his career, Genest also made significant contributions to the development of techniques for the reconciliation and use of expert opinions and pairwise comparison methods used to establish priorities in multiple-criteria decision analysis. He is the author or co-author of over 250 scientific publications, about half of which appeared in peer-reviewed journals. Part of his work is also concerned with the history of statistics and scientometrics. Christian Genest has given over 300 invited talks, including 75+ presentations for a general audience.

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Thomas Mathew

Thomas Mathew is a professor of statistics at the Department of Mathematics and Statistics, University of Maryland, Baltimore County campus. He earned his Ph.D. in statistics from the Indian Statistical Institute in 1983. His research interests include methodological research in statistics, as well as novel applications of statistical methodology to other disciplines, including exposure data analysis, cost-effectiveness analysis, bioequivalence testing and the development of reference intervals and regions in laboratory medicine. He is the co-author of two books, one on hypothesis testing in mixed models, and a second book on tolerance intervals and regions, both published by Wiley.

Dr. Mathew is an elected Fellow of both the Institute of Mathematical Statistics and the American Statistical Association. In recognition of his research accomplishments, Dr. Mathew was awarded the Presidential Research Professorship at his campus in 2008.

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Jose Maria Sarabia

Dr. Jose Maria Sarabia is a Full Professor of Statistics and Operations Research and Full Professor of Quantitative Methods in CUNEF University, Madrid Spain. He is Professor of Quantitative Methods at University of Cantabria since 2001 (now on leave) and Full Professor of Statistics and Operations Research, Universidad Complutense de Madrid since 2000 (on leave). He is a Member of the Royal Academy of Economic and Financial Sciences RACEF, 2018. He was the President of the Economic and Business Committee at the National Commission for the Evaluation of the Research Activity CNEAI, in 2017-2018. He published more than 190 research articles in scientific journals, including Journal of Econometrics, Journal of the American Statistical Association, Statistical Science, Insurance Mathematics and Economics, Journal of Risk and Insurance, Social Choice and Welfare, Journal of Economic Inequality, Econometric Reviews, Journal of Multivariate Analysis. He is the Editor in Chief of the Spanish Journal of Statistics (INE) and is Associate Editor in several journals. He received the Julio Castelo Matrán/Fundación Mapfre International Research Award in 2008 and the Research Award of the Consejo Social de la Universidad de Cantabria in 2011. He has been visiting professor at the LSE, Imperial College and at the ICMA University of Reading, UK.

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Kimberly Sellers

Kimberly Sellers, Ph.D. is a Professor of Mathematics and Statistics, specializing in Statistics at Georgetown University in Washington, DC; and a Principal Researcher with the Center for Statistical Research and Methodology Division of the U.S. Census Bureau. A DC-area native, she completed her BS and MA degrees in Mathematics at the University of Maryland College Park, and then obtained her PhD in Mathematical Statistics at The George Washington University.

Prof. Sellers held previous faculty positions at Carnegie Mellon University as a Visiting Assistant Professor of Statistics, and the University of Pennsylvania School of Medicine as an Assistant Professor of Biostatistics and Senior Scholar at the Center for Clinical Epidemiology and Biostatistics (CCEB) before her return to the DC area. Her primary research interests and expertise center on statistical methods for count data that contain data dispersion with methodological interests in distribution theory, regression analysis, multivariate analysis, and stochastic processes and time series analysis.

Prof. Sellers recently became an Elected Member of the International Statistical Institute (in 2018) and a Fellow in the American Statistical Association (in 2021) in recognition of her research, as well as her active contributions to diversifying the fields of mathematical and statistical sciences with respect to gender and race/ethnicity. She was the 2017-2018 Chairperson for the American Statistical Association’s Committee on Women in Statistics, and currently serves as the inaugural chairperson of the ASA’s Justice, Equity, Diversity, and Inclusion (JEDI) Outreach Group, as well as an Advisory Board member for the Black Doctoral Network.