Keynote Speakers

Eva Ceulemans

Eva Ceulemans is a Full Professor of Quantitative Psychology at the University of Leuven (Belgium). She received her PhD in 2003 (under the supervision of Iven Van Mechelen). Her current research interests include time series analysis, sample size planning and design of intensive longitudinal studies, retrospective and prospective change point detection, and dynamical modeling of intensive longitudinal dyadic and triadic data. A crucial aspect of her research is building bridges between data analysis methods and substantive psychological research questions.

Dimitris Karlis

Dimitris Karlis is Professor at the Department of Statistics, Athens University of Economics and Business (AUEB). He received a BSc. in Statistics from Department of Statistics, AUEB in 1992 and a PhD in Statistics from the same department in 1999. He has published approximately 120 papers in peer reviewed statistical journals. His research interests refer to discrete data analysis including time series, mixture models and model based clustering, computational statistics and especially stochastic algorithms, multivariate count data analysis, models for statistical analysis for sports data, modeling dependent data via copulas and design and analysis of clinical trials.
He has been editor in chief for Journal of Quantitative Analysis in Sports and also Associate editor for Metron journal, Communications in Statistics (both Theory and Methods and Computation and Simulation), IMA Journal of Management Mathematics and Stochastic Environmental Research and Risk Assessment and Risks. He has supervised 6 finished PhD student, 95 Master thesis, while at this moment he supervises three more PhD student. He has been invited in several conferences around the world. He is member of the American Statistical Society, elected member of the International Statistical Institute, member of the International Association of Statistical Computing and member of the International Biometric Society. He has been president of the Eastern Mediterranean Region of the International Biometrics Society. He has also participated in several national and European projects related to statistics and its applications including official statistics, financial modelling, real estate, sports and many others.
He is deputy head of the Dept of Statistics, AUEB, deputy head of the Research Center of AUEB, Director of the MSc in Statistics at the same department, while he is also Director if the laboratory on Computational and Bayesian Statistics. He has been member of several academic committees in Greece and Europe. In 2019 he received the “12th Ferran Armengol i Tubau” Prize by the Catalan Economics Society of the Institute for Catalan Studies for contributions to Actuarial Science.

Regina Liu

Regina Liu is Distinguished Professor at Rutgers, the State University of New Jersey, USA. She received her PhD in Statistics from Columbia University. Her research areas include data depth, resampling, nonparametric statistics, confidence distribution, and fusion learning. Aside from theoretical and methodological research, she has long collaborated with the FAA on aviation safety research projects on statistical process control, text mining and risk management. She has served as Editor for the Journal of the American Statistical Association and the Journal of Multivariate Analysis, and as Associate Editor for several journals, including the Annals of Statistics. She is an elected fellow of the Institute of Mathematical Statistics and the American Statistical Association, and an elected member of the International Statistical Institute. Among other distinctions, she is also the recipient of 2021 Noether Distinguished Scholar Award (from American Statistical Association), 2024 Elizabeth Scott Award (from Committee of Presidents of Statistical Societies (COPSS)) and the 2025 IMS Neyman Award and Lecture, and has delivered an IMS Medallion Lecture. She was elected President of the Institute of Mathematical Statistics (IMS), 2020-2021.

Giovanni Camillo Porzio

Giovanni Camillo Porzio is full Professor of Statistics at the University of Cassino and Southern Lazio, he holds a Master in Statistics from the University of Minnesota, and a Ph.D. in Computational Statistics and Data Analysis from the University of Naples Federico II. He has worked in many areas of applied statistics research, and made important contributions to the statistical analysis of directional data, in particular from a non-parametric and data depth perspective. By introducing a circular boxplot, his work has contributed to progress in circular data visualization techniques. His recent research has focused on supervised and unsupervised learning methods. He is particularly interested in developing strategies that are robust to the presence of data anomalies.

He is the President Elect of CLADAG (Classification and Data Analysis Group), one of the main Sections of the Italian Statistical Society.

Peter Rousseeuw

Peter Rousseeuw is known mainly for his work on robust statistics. Among his creations are least trimmed squares regression, the minimum covariance determinant estimator, the k-medoids clustering method, and the silhouettes graphical display. Peter obtained his PhD in 1981 following research carried out at the ETH in Zürich, Switzerland, which led to a book on influence functions. Later, he was a professor at Delft University of Technology, The Netherlands, and at the University of Antwerp, Belgium. Next, he was a researcher at Renaissance Technologies in New York for over a decade. He then returned to Belgium as a professor at KU Leuven, until becoming emeritus in 2022. He is an elected member of ISI and a fellow of IMS and ASA. In the course of his career, Peter published three books and over 200 papers on theory, algorithms and applications, together receiving over 115,000 citations. He was awarded the George Box Medal for Business and Industrial Statistics, the Research Medal of the International Federation of Classification Societies, the Frank Wilcoxon Prize, and twice the Jack Youden Prize. Recently, Peter received the 2024 ASA Noether Distinguished Scholar Award for nonparametric statistics. His former PhD students include Annick Leroy, Rik Lopuhaa, Geert Molenberghs, Christophe Croux, Mia Hubert, Stefan Van Aelst, Tim Verdonck and Jakob Raymaekers. Peter’s recent work is mainly on robustness to cellwise outliers.