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IASC-ARS Interim Conference 2024

Keynote Speakers

Dr. Cathy W.S. Chen
Feng Chia University

Cathy W.S. Chen is a distinguished professor in the Department of Statistics at Feng Chia University, Taiwan. She has significantly contributed to the fields of Bayesian inference, diagnostics, model comparison, and forecasting. In addition, she has advanced Bayesian methodology in econometrics and applications of statistics in epidemiology research. She became an elected member of the International Statistical Institute (ISI) in 2008, and in 2010, received the Chartered Statistician (CStat) title from the Royal Statistical Society, a formal recognition of her statistical qualifications, professional training, and experience. She is also a fellow of the American Statistical Association, the Royal Statistical Society, and the International Society for Bayesian Analysis (ISBA). Professor Chen has made considerable contributions through her editorial work. Since 2021, she has served as co-editor for Computational Statistics and as an associate editor for several prestigious journals.

To Be Determined


Dr. Patrick John Fitzgerald Groenen
Erasmus School of Economics

Patrick J.F. Groenen is a professor of statistics at the Erasmus School of Economics (ESE). He currently is also dean of that school. Professor Groenen's work focuses on data science techniques and their numerical algorithms. He is the co-author of several textbooks on multidimensional scaling published by Springer and has published articles in the top peer-reviewed journals including, among others, the Journal of Machine Learning Research, the Journal of Marketing Research, Psychological Methods, Psychometrika, the Journal of Classification, Computational Statistics and Data Analysis, the British Journal of Mathematical and Statistical Psychology, and the Journal of Empirical Finance.

To Be Determined


Dr. Xuming He
Washington University in St. Louis

Xuming He joined Washington University in July 2023 as the inaugural chair of the Department of Statistics and Data Science. Previously, he served as the H.C. Carver Collegiate Professor of Statistics at the University of Michigan. He is a renowned leader in the fields of robust statistics, quantile regression, Bayesian inference, and post-selection inference; he is also a proponent of interdisciplinary research in data science. Before joining the University of Michigan in 2011, He held positions at the National University of Singapore and the University of Illinois at Urbana-Champaign and served as program director of statistics at the National Science Foundation. He is a fellow of the American Association for the Advancement of Science and the American Statistical Association. Currently, He serves as President (2023-2025) of the International Statistical Institute. He received his bachelor's of science from Fudan University and his master's (mathematics) and PhD (statistics) from the University of Illinois at Urbana-Champaign.

To Be Determined