Rosa M. Crujeiras is a full professor of Statistics and OR at the Department of Statistics, Mathematical Analysis and Optimization at Universidade de Santiago de Compostela. She is currently the Scientific Director of the Galician Center for Mathematical Research and Technology, CITMAga (https://citmaga.gal/en/home). After obtaining her PhD in 2007, she has been a post-doc researcher at the Institute de Statistique, Biostatistique et Sciences Actuarielles, UCLouvain. Since January 2008, she is a professor at the Department of Statistics and Operations Research. Her research interests focus on models for spatial and circular data, non-parametric estimation, and goodness-of-fit testing among others.
Linda Danielson is CEO of IDDI. She joined IDDI in 2006 as Statistical Advisor and became Chief Operating Officer in 2011. Linda obtained her M.S. degree in Biostatistics in 1990 from the University of Wisconsin, Madison. She has over 30 years of experience in the Pharmaceutical Industry and in the Clinical Trial environment. Before coming to IDDI in 2006, Linda was the Head of Biostatistics at UCB Pharma. Prior to moving to Belgium, Linda provided statistical support for the Beaver Dam Eye study at the University of Wisconsin, Madison.
Arthur Gretton is a Professor with the Gatsby Computational Neuroscience Unit, director of the Centre for Computational Statistics and Machine Learning at University College London, and research scientist at Google Deepmind. His research interests in machine learning include causal inference and representation learning, design and training of implicit and explicit generative models, and nonparametric hypothesis testing.
Johan Segers is a Professor at the Institute of Statistics, Biostatistics and Actuarial Sciences, at UCLouvain. His research interests focus on Extreme value theory, Statistical learning, Optimal transport, Monte Carlo integration and Dependence modelling. He is an elected member of ISI and has been awarded the IMS fellowship in 2021.
Sophie Vanbelle is an Associate professor at the Department of Methodology and Statistics, Maastricht University. Her research focus is on developing models to study reliability and agreement for intensive longitudinal data and her area of expertise concentrates around agreement and reliability studies, multilevel data analysis, Bayesian statistics, categorical data analysis, intensive longitudinal data, structural equation modeling and Survival analysis among others.
Tengyao Wang is as an associate professor at the Department of Statistics at the London School of Economics and Political Science and prior to this he was a lecturer at University College London and a research fellow at Cantab Capital Institute for the Mathematics of Information, University of Cambridge. He is broadly interested in the area of high-dimensional statistics. His research focuses mainly on developing computationally efficient procedures for high-dimensional problems, while at the same time understanding the potential statistical limitations imposed by computational constraints.
Sarah Zohar is the Head of HeKA and an expert in innovative methods for interventional and observational health data modeling under Bayesian inference. She has made many methodological contributions for exploratory clinical trials and real-life health data analysis proposing novel methods and approaches that have been applied in cancer, rare diseases, resistance to antibiotics and pediatric clinical trials among other fields.