Summary
Charlelie Laurent is a Senior Scientific Machine Learning Engineer at NVIDIA who builds AI tools to accelerate scientific and engineering workflows, currently contributing to the PhysicsNeMo project. With a PhD in Mechanical Engineering and four years of postdoctoral and industry experience, he has integrated ML into HPC simulations and developed deep learning models for aerospace and weather applications at Stanford, JGU Mainz, and ISAE-Supaero. A former rocket scientist, he blends domain expertise in mechanics with practical ML engineering to bridge research and production. Based in California, he is active in NVIDIA’s open-source PhysicsNeMo effort, bringing a rare mix of hands-on simulation know-how and production-grade ML tooling.
4 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at École normale supérieure Paris-Saclay
Doctor of Philosophy - PhD, Mechanical Engineering, Doctor of Philosophy - PhD, Mechanical Engineering at Toulouse INP
Master of Science - MS, Mechanical Engineering, Master of Science - MS, Mechanical Engineering at École Polytechnique
Mechanical Engineering, Mechanical Engineering at Cornell University
English, French