Jaeyong Lee, Seoul National University, Korea
- Email: jylc@snu.ac.kr
- Web: https://jylee749.wordpress.com/
Jaeyong Lee is Professor of Statistics at Seoul National University. Lee earned his PhD degree in Statistics from Purdue University. His prior appointments include being on the faculty at Pennsylvania State University, and as a visiting assistant professor, at Duke University. Lee’s research interests cover many aspects of Bayesian statistics, including Bayesian nonparametrics, high-dimensional models and differential equations. He has served as an associate editor for Biometrics, Bayesian Analysis, Journal of Korean Statistical Society, and Journal of Biopharmaceutical Statistics. Lee was the 2020 recipient of the Korea Gallup Academic Award and is an elected member of the International Statistical Institute. He is an expert member of the South Korean National Statistical committee and was a member of the advisory board of the Institute of Mathematical Statistics in Japan. He was a board member of the International Society of Bayesian Analysis as well as the International Association of Statistical Computing. He was the director of general affairs at the Korean Statistical Society.
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Antonio Lijoi, Bocconi University, Italy
- Email: antonio.lijoi@unibocconi.it
- Web: https://mypage.unibocconi.eu/antoniolijoi/
Antonio Lijoi is Professor of Statistics and Director of the PhD program in Statistics and Computer Science at Bocconi University, Milano. He has previously been at the University of Pavia and the Italian National Council of Scientific Research, Milano. He has gained the PhD in Statistics at the University of Trento and the University Degree in Economic and Social Sciences at the Bocconi University. He currently is Associate Editor of the Journal of the Journal of the American Statistical Association, the Electronic Journal of Statistics and Bayesian Analysis. He is Fellow of the Institute of Mathematical Statistics and of the International Society for Bayesian Analysis. He is also a Fellow of the Bocconi Institute for Data Science and Analytics. His main research interests include Bayesian Nonparametrics, random measures, mixture models, predictive inference and survival analysis.
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Igor Pruenster, Bocconi University, Italy
Igor Pruenster is Professor of Statistics and Director of Bocconi Institute of Data Science and Analytics, Bocconi University. His research interests lie in Bayesian statistics and asymptotics, distribution theory, exchangeability and random measures, mixture models, predictive inference, species sampling and survival analysis. He is a co-editor of Bayesian Analysis, and an associate editor for the Annals of Statistics, Operations Research, Econometrics and Statistics. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the International Society for Bayesian Analysis (ISBA). He was the president of the ISBA in 2021.
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Christian Robert, Université Paris Dauphine/ University of Warwick (France/ UK)
- Email: xian@ceremade.dauphine.fr
- Web: https://www.ceremade.dauphine.fr/~xian/
Christian Robert is one of the world’s leading researchers in Bayesian statistics and the theory and applications of Monte Carlo methods, especially MCMC and ABC. He has compiled an outstanding record of publication in the leading journals in statistics, and is the author of 13 advanced texts and monographs. He has served as co-editor of the Journal of the Royal Statistical Society — Series B (Statistical Methodology), and as an associate editor for the Annals of Statistics, the Journal of the American Statistical Association, and Statistical Science. He is currently deputy editor of Biometrika. He was a senior member of the Institut Universitaire de France from 2010 till 2021. He has been nominated a fellow of the Institute of Mathematical Statistics, the American Statistical Society, the Royal Statistical Society and the International Society for Bayesian Analysis, which he presided in 2008. He has been a professor at Paris Dauphine University since 2000 and an adjunct professor at University of Warwick since 2013. He took visiting positions at the University of Canterbury, Christchurch NZ and Ca'Foscari University of Venice, IT. He is the former Head of the Statistics Laboratory of the Centre de Recherche en Economie et Statistique (CREST), Institut National de la Statistique et des Études Économiques (INSEE), Paris.
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Alexandre H. Thiery, National University of Singapore
Alex Thiery is an Associate Professor in the Department of Statistics & Data Sciences at the National University of Singapore (NUS). He was educated in theoretical mathematics at the Ecole Normale Superieure of Paris and shifted to more applied areas of research while pursuing his Ph.D. at Warwick University. He has a wide range of interests and develops tools that leverage optimization, probability, and PDEs to solve problems in applied statistics and machine learning.
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Surya Tokdar, Duke University, USA
- Email: surya.tokdar@duke.edu
- Web: http://www2.stat.duke.edu/~st118/
Surya Tokdar received his statistics education from Indian Statistical Institute, Kolkata (BStat 2000, MStat 2002) and completed his doctoral research at Purdue University (PhD 2006) under the supervision of JK Ghosh. His doctoral thesis won the Leonard J Savage Award (Theory) from the International Society of Bayesian Analysis (ISBA). He spent the next three years at Carnegie Mellon University as the Morris H DeGroot Visiting Assistant Professor, where his statistics thinking and research interests were deeply influenced by Rob Kass and Jay Kadane. Tokdar joined Duke University in 2009 as an Assistant Professor and was promoted to Associate Professor in 2016, and to Professor in 2022. He received the Young Statistician Award from IISA in 2016. He has been a member of ISBA, ASA, IMS and IISA and over the years he has served in various elected roles in these academic societies.
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W. van der Vaart, Delft Institute of Applied Mathematics, TU Delft, The Netherlands
- Email: a.w.vandervaart@tudelft.nl
- Web: https://fa.ewi.tudelft.nl/~vaart/
Aad van der Vaart studied mathematics, philosophy and psychology at the University of Leiden, and received a PhD in mathematics from this university in 1987. He held positions in College Station, Texas and Paris (not in Texas), held a Miller fellowship in Berkeley, and was visiting professor in Berkeley, Harvard and Seattle. Following a long connection to the Vrije Universiteit Amsterdam and a shorter one to Leiden University, he is now professor of statistics at TU Delft. He is a member of the Royal Netherlands Academy of Arts and Sciences, and received the C.J. Kok prize in 1988, the van Dantzig award in 2000, the NWO Spinoza Prize in 2015, and the DeGroot prize in 2019. He is a fellow of the IMS and ISBA, elected member of the ISI, and member of the circle of the IMU. Keynote lectures include the Forum Lectures at the EMS 2009, the Le Cam lecture at the JSM 2009, invited address at the International Congress of Mathematicians in 2010, a foundational lecture at the world meeting of International Society for Bayesian Analysis in 2012, the Hotelling lectures in 2017, the Barrett lectures in 2017, and the European Mathematical Society & Bernoulli Society lecture in 2019. Short courses and lecture series on semiparametric statistics, empirical processes and Bayesian inference, were delivered in, among others, Indonesia, France, the USA, Germany, China, Korea, Italy, Uruguay, Denmark, Mexico, Cyprus and the Netherlands. From January 2023 he is president-elect of the International Society for Bayesian Analysis.