August 2022: Our paper on "Structure learning for extremal tree models" (with S. Volgushev) (arxiv) is accepted in the JRSSB.
We are organizing a CUSO/EPFL/ETHZ PhD school on "Statistical Machine Learning" from September 4-7, 2022, with speakers Gitta Kutyniok, Aaditya Ramdas, Johannes Schmidt-Hieber and Bin Yu MLSTATS2022.
August 2022: New paper on "Neural networks for extreme quantile regression with an application to forecasting of flood risk" (with O. Pasche) on arxiv.
June 2022: New paper on "Learning extremal graphical structures in high dimensions" (with M. Lalancette and S. Volgushev) on arxiv.
May 2022: Our paper on "Modeling panels of extremes" (with D. Dupuis and L. Trapin) (arxiv) is accepted in the Annals of Applied Statistics.
January 2022: New paper on "Extremal random forests" (with N. Gnecco and E.M. Terefe) on arxiv.
December 2021: New paper on "Total positivity in multivariate extremes" (with F. Röttger and P. Zwiernik) on arxiv.
October 2021: New paper on "Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions" (with D. Deuber, J. Li, M. Maathuis) on arxiv.
October 2021: New paper on "Modelling and simulating spatial extremes by combining extreme value theory with generative adversarial networks" (with Y. Boulaguiem, J, Zscheischler, E. Vignotto, K. van der Wiel) on arxiv.
September 2021: Very honored to receive the Lambert Award 2021 of the Swiss Statistical Society.