Vincent Fortuin, MSc CBB ETH UZH

"The scientist is not a person who gives the right answers, he's one who asks the right questions." - Claude Lévi-Strauss

PhD Student

+41 44 633 66 87
ETH Zürich
Department of Computer Science
Biomedical Informatics Group
Universitätsstrasse 6
CAB F53.1
8092 Zürich
CAB F52.0

I am interested in the interface between deep learning and probabilistic modeling. I am particularly keen to develop models that are more interpretable and data efficient, since these are two major requirements in the field of health care.

I did my undergraduate studies in Molecular Life Sciences at the University of Hamburg, where I worked on phylogeny inference for quickly mutating virus strains with Andrew Torda. I then went to ETH Zürich to study Computational Biology and Bioinformatics, in a joint program with the University of Zürich, with a focus on systems biology and machine learning. My master's thesis was about the application of deep learning to gene regulatory network inference under supervision of Manfred Claassen. During my studies I also spent some time in Jacob Hanna's group at the Weizmann Institute of Science, working on multiomics data analysis in stem cell research. Before joining the Biomedical Informatics group as a PhD student, I worked on deep learning applications in natural language understanding at Disney Research.