Scholar
Vincent Fortuin
Google Scholar ID: XBlrYTIAAAAJ
Principal Investigator, Helmholtz AI & TU Munich
Citations & Impact
Citations
2,672
H-index
26
i10-index
38
Publications
20
Co-authors
155
list available
Publications
Resume (English only)
Academic Achievements
- Branco Weiss Fellow; ELLIS Scholar; Fellow of the Konrad Zuse School of Excellence in Reliable AI; Senior Researcher at the Munich Center for Machine Learning; Regular reviewer and area chair for all major machine learning conferences; Action editor for TMLR; Co-organizer of the Symposium on Advances in Approximate Bayesian Inference (AABI) and the ICBINB initiative; Recipient of the Willi Studer Prize.
Research Experience
- Current: Tenure-track research group leader at Helmholtz AI in Munich, leading the Efficient Learning and Probabilistic Inference for Science (ELPIS) group; Faculty member at Technical University of Munich; Postdoctoral researcher at the University of Cambridge, working with Richard Turner; Research Fellow at St. John’s College, mentored by Zoubin Ghahramani.
Education
- PhD: ETH Zürich, Computer Science, supervised by Gunnar Rätsch and Andreas Krause; Master's: ETH Zürich and University of Zürich, Computational Biology and Bioinformatics, supervised by Manfred Claassen; Bachelor's: University of Hamburg, Molecular Life Sciences, supervised by Andrew Torda.
Background
- Research Interests: Reliable and data-efficient AI approaches leveraging Bayesian deep learning, deep generative modeling, meta-learning, and PAC-Bayesian theory. Professional field: Machine Learning.
Miscellany
- No detailed information provided about personal interests or hobbies.
