Dr. Sebastian Engelke

Biography

Sebastian Engelke is a Full Professor at the University of Geneva, specializing in Statistics and Information Science. He completed his Ph.D. at Georg-August-University of Göttingen, where he conducted significant research in extreme value theory, spatial statistics, and graphical models. Engelke has held various academic positions, including Associate Professor and visiting professor roles in leading institutions such as the University of Toronto. His prior fellowship with EPF Lausanne marks a notable phase in his career, supported by his work with the Deutsche Telekom Foundation. Engelke's research interests revolve around developing statistical inference methods and understanding complex extremal behaviors in data science. His extensive contributions to the field are highlighted through numerous publications in prominent journals, exploring topics like Bayesian inference for multivariate extremes, robust statistical models, and machine learning applications in risk assessment. Engelke is actively engaged in educational programs offering advanced courses in machine learning, further advancing statistical education and research.

Research Interests