Guillaume Guex is a research-focused applied mathematician and senior lecturer based in Lausanne with nine years of experience building mathematical models and machine learning algorithms across computational linguistics, geography, and digital humanities. Holding a PhD from the University of Lausanne and an MS in Statistics, he blends rigorous statistical modeling with practical programming to translate academic questions into reproducible, publishable research. At UNIL he leads teaching and research activities while previously supporting public-sector analytics for the Canton of Vaud, giving him both scholarly depth and applied impact. Known for crafting bespoke algorithms rather than off-the-shelf solutions, he often bridges disciplinary boundaries to tackle data-scarce problems in the humanities and social sciences.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics, Doctor of Philosophy (PhD), Applied Mathematics at University of Lausanne (Switzerland)
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Ecole polytechnique fédérale de Lausanne
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Université de Neuchâtel
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Guillaume Guex - First Assistant at University of Lausanne