Summary
Tom Bosc is a Senior Deep Learning Scientist with 11 years of experience applying machine learning to genomics at Illumina, where he fine-tunes large protein language models and builds interpretable baselines for projects like PrimateAI and rare disease gene ranking. He holds a PhD-level background from Mila and an engineering degree from Grenoble, blending strong theoretical foundations with practical engineering across NLP and bioinformatics. Prior roles at Facebook, Inria and Dataiku show a track record of turning research into production-ready pipelines, from argument mining to streaming NLP tools. Tom’s work uniquely bridges classical non-neural baselines and end-to-end deep models, updating validation benchmarks to make models more reliable for clinical insights. Based in Cambridge, he combines deep research pedigree with hands-on implementation, and maintains a public scholarly footprint via his Google Scholar profile.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Mila - Quebec Artificial Intelligence Institute
Entrance in an engineering school, Entrance in an engineering school at Institut national polytechnique de Grenoble
Engineer's Degree, Computer Science and Applied Mathematics, With honours, Engineer's Degree, Computer Science and Applied Mathematics, With honours at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble
Tomsk Polytechnic University
French, English, Russian