About

Vincent Fortuin is an incoming full professor for Probabilistic Machine Learning at UTN. He is also a research group leader at Helmholtz AI in Munich, leading the group for Efficient Learning and Probabilistic Inference for Science (ELPIS), a Branco Weiss Fellow, an ELLIS Scholar, a Fellow of the Konrad Zuse School of Excellence in Reliable AI, and a Senior Researcher at the Munich Center for Machine Learning. His research focuses on reliable and data-efficient AI approaches leveraging Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory. Before that, he did his PhD in Machine Learning at ETH Zürich and was a Research Fellow at the University of Cambridge. He is a regular reviewer and area chair for all major machine learning conferences, an action editor for TMLR, and a regular co-organizer of the Symposium on Advances in Approximate Bayesian Inference (AABI) and several other workshops.

Curriculum vitae

From 2026 Full Professor for Probabilistic Machine Learning at UTN
Since 2023 Junior Fellow at TU Munich
Since 2023 Principal Investigator at Helmholtz AI
2022 – 2023 Research Fellow at St. John’s College, Cambridge
2017 – 2023 PhD in Machine Learning at ETH Zürich
2015 – 2017 MSc in Computational Biology and Bioinformatics at ETH Zürich

Publications

List of publications of Prof. Dr. Vincent Fortuin on GitHub