Théomé Borck is a Senior BioAI Research Engineer with eight years of experience applying machine learning and deep learning to biological problems, currently working in InstaDeep’s joint AI Innovation Lab with BioNTech to accelerate next-generation vaccines and biopharmaceuticals. He combines strong academic training (MEng from CentraleSupélec and an MS in Mathematics in Data Science from TUM) with practical experience deploying state-of-the-art models for immunological and protein-language tasks, including work on peptide-MHC binding prediction. His background spans from NLP and protein language models to computer vision and production web tooling, giving him a rare cross-disciplinary fluency between research and engineering. Théomé has a track record of moving models from thesis-stage research into applied BioAI projects and production collaborations with industry partners. Colleagues describe him as someone who bridges rigorous mathematical foundations with pragmatic product-minded implementation, often surfacing non-obvious insights from noisy immunologic data. Based in France, he pairs academic curiosity with hands-on delivery in high-impact biotech settings.
8 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng Mathematics Computer Science Engineering & Physics Entrepreneurship Economy Finance, Master of Engineering - MEng Mathematics Computer Science Engineering & Physics Entrepreneurship Economy Finance at CentraleSupélec
Master of Science - MS Mathematics in Data Science, Master of Science - MS Mathematics in Data Science at Technical University of Munich
CPGE MPSI/MP* Mathematics Physics Computer Science, CPGE MPSI/MP* Mathematics Physics Computer Science at Lycée Pierre Corneille - Rouen
Baccalauréat S Mathematics Physics, Baccalauréat S Mathematics Physics at Lycée Raymond Queneau, 76
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Théomé Borck - Senior BioAI Research Engineer at InstaDeep