Summary
Matthieu Foll is a bioinformatics scientist with a PhD in population genetics and over a decade of experience translating statistical genetics into robust software and workflows for large-scale genomic data. He has developed Bayesian models to detect signals of local adaptation across human populations and built widely used tools during his academic career in Grenoble, Berne and EPFL. Since 2014 he leads bioinformatics efforts at IARC-WHO, coordinating international collaborations and driving molecular characterization projects for rare thoracic cancers while supervising technical teams. Comfortable across HPC pipelines, NGS analysis, and statistical method development, he bridges theoretical population genetics and practical cancer genomics applications. An uncommon strength is his track record of shipping research-grade software that both advances methods and is adopted by the field, reflecting his dual training in applied mathematics and computational biology. Based in Lyon, he actively secures funding and shapes bioinformatics capacity for projects involving low- and middle-income country partners.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Computational and Applied Mathematics, Passed with distinction (french mention Bien for 70%+), Master of Science (M.Sc.), Computational and Applied Mathematics, Passed with distinction (french mention Bien for 70%+) at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble
Doctor of Philosophy (PhD), Population genetics, Doctor of Philosophy (PhD), Population genetics at Université Joseph Fourier (Grenoble I)
French, English