Corentin Lapeyre is a research leader bridging computational physics and AI, currently driving Strategic Researcher Engagement at NVIDIA after building and leading the hybrid simulation team at CERFACS. With a PhD in combustion physics and a decade of experience in high-performance simulation, he designs hybrid resolution strategies for aerospace, climate, wildfire and flood modeling, and emerging energy vectors like hydrogen and ammonia. He has founded interacademic initiatives (Helios), supervised numerous PhD/postdoc projects, and coordinated EU and national research programs that translate physics solvers into operational tools. A software-savvy scientist, he championed modern devops and software engineering practices across research codes, from CI/CD to containerization and UX-driven tool design. Corentin teaches and mentors MSc/PhD students in AI-for-physics, combining deep domain knowledge with practical ML application to accelerate trustworthy hybrid modeling. Notably, he moved from hands-on turbulent reactive flow solvers to shaping interdisciplinary research agendas that marry numerical rigor with machine learning innovation.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Combustion physics, Doctor of Philosophy (Ph.D.), Combustion physics at Institut national polytechnique de Toulouse
Master 2 Recherche, Thermique et énergétique, Master 2 Recherche, Thermique et énergétique at Université Claude Bernard Lyon 1
Master of Science (M.Sc.), Aerospace engineering, Master of Science (M.Sc.), Aerospace engineering at École Centrale de Lyon
Contributions:52 commits, 29 pushes, 1 branch in 3 years 8 months
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