Alan E. Gelfand

Bio: Raphaël Huser is an Associate Professor of Statistics in the CEMSE Division at King Abdullah University of Science and Technology (KAUST). He received his PhD in Statistics in 2013 at EPFL, and joined KAUST as a postdoctoral fellow in 2014, before being appointed Assistant Professor in 2015, and later promoted to Associate Professor. His research focuses on statistics of extreme events, risk assessment, modeling of rare phenomena in spatio-temporal settings, and more recently neural Bayes simulation-based inference methods. His computational work includes the development of efficient inference methods for large datasets arising in environmental science, finance, and neuroscience. He has been recognized with awards including the 2019 ENVR Early Investigator Award (ASA), the 2022 Abdel El-Sharaawi Early Investigator Award (TIES, ISI), and he is an elected member of the International Statistical Institute. He has served on various Editorial Boards, and is currently an Associate Editor for Extremes, Environmetrics, and Spatial Statistics. He is also a co-Editor of the forthcoming Handbook of Statistics of Extremes (Chapman & Hall/CRC).