ISI Membership Elections 2022 – first round: Meet our new members

After a PhD dissertation in nonparametric inference, my scientific interests turned to statistical problems related with sample surveys, official, and social statistics, as well as pedagogical issues regarding statistics education. I am in charge of teaching statistics to students enrolled in social and political sciences, economics, and information and communication. I am also very interested in the promotion and dissemination of sound statistical practice to a broad audience.

Jean-François Beaumont is Senior Statistical Advisor at Statistics Canada, where he has been working for more than 25 years. He is also the Editor of Survey Methodology since January 2021. His recent research interests focus on statistical data integration, small area estimation and other estimation issues in sample surveys.

Mr. Li is the Deputy Commissioner of the National Bureau of Statistics of China and once served as Spokesman and Chief Economist. He is an expert on organization of national censuses and statistical surveys. Focusing on macro-economy, population and employment, he has published many articles in significant newspapers and journals.

Miss Yu is a Senior Statistician, Chief Network Engineer of Statistical Information Management Center, National Bureau of Statistics of China.

Dr. Yao Zheng is Assistant Professor in the Department of Statistics at the University of Connecticut. She obtained her B.S. and Ph.D. from the University of Hong Kong in 2013 and 2017, respectively. Her main research interests include time series analysis, high-dimensional statistics, statistical learning and econometrics.

Ling Zhou’s research interests include statistical methods development on data integration, nonparametric methods, subgroup analysis and etc, and statistical application in medicine, economics, nutrition, environmental health and etc.

Bibhas Chakraborty is a tenured Associate Professor and Ex-Director of the Centre for Quantitative Medicine at the Duke-National University of Singapore Medical School (Duke-NUS), an Associate Professor of Statistics and Data Science at the National University of Singapore, and an Adjunct Associate Professor of Biostatistics and Bioinformatics at Duke University. He completed his B.Sc. (Hons.) from the University of Calcutta in 2001, his M.Stat from the Indian Statistical Institute in 2003, and his Ph.D. in Statistics from the University of Michigan in 2009. He is the recipient of the Calderone Research Prize for Junior Faculty from Columbia University’s Mailman School of Public Health in 2011, and the Young Statistical Scientist Award from the International Indian Statistical Association (IISA) in 2017. He enjoys interdisciplinary statistical research with real-world impact. His main areas of research include dynamic treatment regimes and precision medicine, statistical reinforcement learning and digital health, interpretable machine learning, and adaptive clinical trial designs.

David F. Muñoz is Professor and Head of the Department of Industrial & Operations Engineering at the Instituto Tecnológico Autónomo de México (ITAM). He received a BS in statistics from the Universidad Nacional Agraria, La Molina of Peru, an MS in mathematics from the Pontificia Universidad Católica del Perú, and MS and PhD degrees in operations research from Stanford University. He is a Member of the National Research Systems of Mexico and Peru, and an active member of IASC, where he is a Past Chairperson of the Latin American Regional Section. Dr. Muñoz’s research interests and publications are in the probabilistic and statistical aspects of simulation, applications of simulation, and design and analysis of business processes. At the ITAM he also serves as Adjoint Director of the Center for the Study of Competitiveness. He is an Edelman Laureate for participating in the project Indeval Develops a New Operating and Settlement System Using Operations Research that received the 2010 Franz Edelman Award from INFORMS.

Jose Maria Sarabia, PhD, is Professor of Quantitative Methods at CUNEF Universidad, Madrid, Spain. He is a member (Academico Correspondiente) of the Spanish Royal Academic of Economics and Finance RACEF (Spanish Institute) from 2018. His main research achievements are related to the construction of multivariate models based on conditional specification, characterization of probability models, Lorenz curves and majorization, risk analysis and econophysics. Some of his books have been published by Springer and John Wiley. He has published research papers in relevant scientific journals, including, Journal of the American Statistical Association, Journal of the Royal Statistical Society A, Journal of Multivariate Analysis, Statistical Science, Computational Statistical and Data Analysis and others. He received the international award for insurance research “Julio Castelo Matran”, awarded by Fundacion MAPFRE (Spain) 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. Now, he is the Editor in-chief of the Spanish Journal of Statistics and is Associate Editor in several journals.

Dr. Hansen teaches statistics and maintains research interests in matching and design-based inference for observational studies and experiments; applications in education, medicine and social science; and statistical software. He holds degrees in Statistics and in Logic and the Methodology of Science, both from the University of California-Berkeley.

Dr. McClure has diverse research interests, ranging from statistical methodology to environmental epidemiology. Methodologically, Dr. McClure is interested in the design and analysis of randomized clinical trials with multiple outcomes, and methodology for re-estimating sample size in on-going randomized trials. She is the principle investigator for the Coordinating Center for the CDC-sponsored Diabetes LEAD (Location, Environmental Attributes, and Disparities) Network, with a primary goals of furthering our understanding of the role of community-level factors and geographic differences in diabetes incidence and prevalence across the US and across demographic groups.

Assistant Professor of Biostatistics, Division of Biostatistics, University of Minnesota.