Dr. Gabriela Cohen Freue
Gabriela Cohen Freue is an associate professor the Department of Statistics at the University of British Columbia (UBC). She joined the Department as a Canada Research Chair-II in Statistical Proteomics in 2012. She earned her Ph.D in Statistics from the University of Maryland at Collage Park. Her contributions in Biostatistics started during her postdoctoral studies, under the supervision of Drs. Ruben Zamar and Raymond Ng, collaborating for Biomarkers in Transplantation and PROOF Centre of Excellence, at UBC. Her research interests are interdisciplinary; merging components from statistics, computational genomics and medical sciences. She has developed robust estimators for the analysis of complex data, focusing in the analysis of -omics data to advance the identification and validation of biomarker solutions for various diseases.
Dr. Mia Hubert
Mia Hubert is professor at the KU Leuven, department of Mathematics, section of Statistics and Data Science. Her research focuses on robust statistics, outlier detection, data visualization, depth functions, and the development of statistical software. She is an elected fellow of the ISI and has served as associate editor for several journals such as JCGS, CSDA, and Technometrics. She is co-founder and organizer of The Rousseeuw Prize for Statistics, a biennial prize which awards pioneering work in statistical methodology.
Dr. Marianthi Markatou
Dr. Marianthi Markatou is SUNY Distinguished Professor and Associate Chair of Research and HealthcareInformatics, Department of Biostatistics, School of Public Health and Health Professions. She also holds a joint appointment with the Jacobs School of Medicine & Biomedical Sciences, and an Adjunct Professorship in the Department of Computer Science and Engineering, University at Buffalo. Dr. Markatou received a Ph. D. in Statistics from the Pennsylvania State University. Her research interests are broad and include problems at the interface of statistics and machine learning, mixture models, robustness, theory and applications of statistical distances, surveillance methods, emerging safety sciences, biomedical informatics, text mining, and clustering methods for mixed-typedata. Her research work is, continuously funded, by NSF, NIH, FDA, PCORI and other non-profit organizations and research foundations. Dr. Markatou is an Elected Fellow of the American Statistical Association, Elected Fellow of the Institute of Mathematical Statistics, and Elected Member of the International Statistical Institute, Fulbright fellowship awards (2017, 2019), and a Senior Researcher of the Year award (2019) from the School of Public Health & Health Professions, University at Buffalo. She has held many associate editor positions and currently she is Co-Editor-in-Chief for International Statistical Review, the flagship journal of the International Statistical Institute.
Dr. Phillipe Rigollet
Philippe Rigollet is a Professor of Mathematics at MIT where he serves as the Chair of Applied Mathematics. He works at the intersection of statistics, machine learning, and optimization, focusing primarily on the design and analysis of efficient statistical methods. His current research is on statistical optimal transport and the mathematical theory behind transformers. His research has been recognized by the CAREER award from the Nation Science Foundation and a Best Paper Award at the Conference on Learning Theory in 2013 for his pioneering work on statistical-to-computational tradeoffs. He is also a recognized speaker and has was selected to present his work on Statistical Optimal Transport during a Medallion lecture by the Institute for Mathematical Statistics and as well as the 2019 St Flour Lectures in Probability and Statistics.
