Summary
Vincent Gardeux is a Senior Scientist at EPFL with over a decade of experience applying machine learning to NGS data analysis, translational bioinformatics, and precision medicine. He focuses on decoding molecular networks and the functional impact of non-coding genetic variation to link genotype to complex phenotypes. Vincent blends rigorous research with hands-on teaching—lecturing courses in Genetics & Genomics and Single-cell Biology while designing applied R-based mini-projects that train students on realistic bioinformatics problems. His background spans academic and consulting roles across Europe and the US, including positions at the University of Arizona, UIC, and Alithea Genomics, reflecting both deep research and practical implementation experience. Known for merging computational rigor from his PhD in computer science with biological insight, he often emphasizes interpretable models and pathway-level mechanisms rather than black-box predictions.
10 years of coding experience
7 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Ecole internationale des Sciences du Traitement de l'Information
Ph.D., Computer Science, Ph.D., Computer Science at Université Paris-Est Créteil (UPEC)
Prep. School (Mathematics, Physics and Engineering), Prep. School (Mathematics, Physics and Engineering) at Lycée Pissaro
French, English