Sebastian Engelke

Spring 2023: Advanced Topics in Machine Learning, University of Geneva.
Spring 2023: Machine Learning, University of Geneva.
Spring 2023: Probabilités I, University of Geneva.
Spring 2022: Machine Learning, University of Geneva.
Spring 2022: Probabilités I, University of Geneva.
Spring 2021: Machine Learning, University of Geneva.
Spring 2021: Multivariate Analysis, University of Geneva.
Spring 2020: Machine Learning, University of Geneva.
Spring 2020: Multivariate Analysis, University of Geneva.
Spring 2019: Machine Learning, University of Geneva.
Spring 2019: Multivariate Analysis, University of Geneva.
Fall 2018: Extreme value theory and applications, University of Toronto.
Summer 2018: Machine Learning, Hawassa University, Ethiopia.
Spring 2018: Machine Learning, University of Geneva.
Spring 2018: Multivariate Analysis, University of Geneva.
Spring 2017: Applied Stochastic Processes, EPFL.
Spring 2016: Applied Stochastic Processes, EPFL.
Fall 2013/2014/2015: Quantitative Methods for Actuaries, University of Lausanne.

Edoardo Vignotto: "Extreme value theory and machine learning", University of Geneva.
Nicola Gnecco: "Causality in heavy tailed models", University of Geneva.
Michaël Lalancette, University of Toronto.
Edossa Merga: "Application of extremes to Ethiopian insurance claim data", University of Hawassa, Ethiopia.
Olivier Pasche: "Extreme quantile prediction", University of Geneva.
Manuel Hentschel: "Grahpical extremes", University of Geneva.

Gloria Buriticá, PhD: postdoc position within my SNSF Eccellenza grant.
Simon Chatelain, PhD: postdoc position within my SNSF Eccellenza grant.
Frank Röttger, PhD: postdoc position within my SNSF Eccellenza grant.
Peiman Asadi, PhD: co-supervision on EXAR project of the Swiss Federal Office for the Environment.