Matthias Galipaud
Senior Data Scientist
Innovation
(Alumni)
Matthias Galipaud obtained his PhD in evolutionary biology in 2012 from the University of Burgundy in Dijon (France), and held postdoctoral positions as a mathematical biologist at the university of Bielefeld (Germany) and the university of Zurich, where he researched the evolutionary theories of aging and mate choice. In 2020, he became a data scientist, developing machine learning solutions for startups in Switzerland and Australia before joining the SDSC Innovation Team in November 2022.
Projects
Syngenta: Steam consumption optimization
Completed
Reliable strategies to save energy in Syngenta’s Kaisten plant
Private sector
Sanfilippo: Drug Repositioning
Completed
Applying deep learning to repurpose drugs for the Sanfilippo syndrome treatment.
NGO/IO
Publications
Mentioned in
December 1, 2025
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Case Studies
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