ProbstLab

Computer Science × Natural Sciences

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Team

Name:Daniel Probst
Website:https://www.danielprobst.science
Role:PI
Bio:I received my BSc in computer science at the Bern University of Applied Sciences in 2013 and my MSc in Bioinformatics and Computational Biology at the University of Bern in 2016. In 2020 I received my PhD in Chemistry and Molecular Sciences for my thesis “Scalable Methods for the Exploration and Visualization of Large Chemical Spaces” from the University of Bern under the supervision of Prof. Jean-Louis Reymond. My main research interest is efficient machine learning and data visualisation applied to natural sciences, focusing on the intersection of chemistry and biology. After a two-year stay as a permanent research staff member at IBM Research in the Team of Teodoro Laino working on machine learning for biocatalysis, I started as a postdoctoral researcher in the group of Prof. Pierre Vandergheynst at EPFL.