Julien Duquesne is a Co-Founder and CTO based in Paris with eight years of experience building foundation models for drug development and leading multidisciplinary ML teams. He designed and trained EVA, a 400M+ parameter multimodal transformer world model of the immune system, and oversees a team of 10 while supervising a CIFRE PhD on model explainability. His work spans high-performance training at national HPC centers, 20+ publications in top venues including ICML, ICLR and The Lancet Rheumatology, and two patents filed—demonstrating a rare blend of academic rigor and product-focused execution. A former ML/NLP engineer at Feedly, he also cultivates the AI community locally through CentraleSupélec meetups, reflecting a commitment to knowledge exchange as well as deployment-grade research.
8 years of coding experience
MVA, Applied Mathematics, MVA, Applied Mathematics at ENS Paris-Saclay
Centrale Paris Engineer Track, Computer sciences, Applied mathematics, Applied physics, Entrepreneurship, Centrale Paris Engineer Track, Computer sciences, Applied mathematics, Applied physics, Entrepreneurship at CentraleSupélec
MPSI-MP*, Mathematics, Physics, MPSI-MP*, Mathematics, Physics at Lycée Pierre De Fermat
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