Pierre Nagorny is a Machine Learning Researcher with a decade of experience specializing in real-time deep learning and motion capture, currently advancing research at the Artanim Foundation in Geneva. He holds an engineering degree and is a PhD candidate from Grenoble Alpes University, blending rigorous academic training with practical system-building. Pierre focuses on making machines self-regulate and learn robustly in real-world, real-time settings—translating complex motion data into deployable ML solutions. His background across European engineering schools and hands-on research at a leading motion-capture lab gives him a rare mix of theoretical depth and production-focused experimentation.
10 years of coding experience
Baccalauréat (A Level), Baccalauréat (A Level) at Institution Sainte-Marie d'Antony
Cycle Préparatoire (Peip), Cycle Préparatoire (Peip) at Polytech Paris-Sud
Engineer's degree, Engineer's degree at Polytech Annecy-Chambéry
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Grenoble Alpes University
Contributions:6 commits, 5 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Pierre Nagorny - Machine Learning Researcher at Artanim