Sébastien Martin is an academic-practitioner in AI and large-scale optimization with 11 years of experience bridging cutting-edge research and industry impact. Now an Associate Professor at Kellogg and a Board Member at ESAB, he focuses on developing scalable AI/optimization algorithms while advising organizations on AI strategy, adoption, and workforce training. He co-founded NoYes AI and has a track record of translating research into operational systems—from winning the Boston Public Schools routing challenge to shaping enterprise AI steering committees. Trained at École Polytechnique and MIT (PhD work in operations research), he blends rigorous mathematical foundations with practical deployment experience in settings ranging from Google Maps to Lyft. Colleagues value his dual emphasis on innovation and education: he teaches AI to business leaders and embeds AI agents into real-world workflows to boost productivity.
11 years of coding experience
5 years of employment as a software developer
Massachusetts Institute of Technology
Bachelor of Science (B.S.), Applied Mathematics, Bachelor of Science (B.S.), Applied Mathematics at École Polytechnique
Classe préparatoire aux grandes écoles, MPSI2, MP*2, Classe préparatoire aux grandes écoles, MPSI2, MP*2 at Lycée Louis le Grand
Baccalauréat S, Baccalauréat S at Lycée Francois Rabelais, Meudon
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