Summary
Louis Montaut is a postdoctoral researcher at Inria Paris (Willow) with eight years of experience at the intersection of differentiable physics simulation, mathematical optimization, and robotics. He completed a PhD on the algorithmic and computational foundations of differentiable collision detection, blending rigorous mathematical training from ENPC and ENS with applied research in simulation and control. His work aims to make high-fidelity simulation both faster and differentiable, unlocking informative derivatives that can power new control and learning algorithms. Past internships and industry roles—from autonomous drone vision at Thales to data science at Ralph Lauren—underscore his ability to translate theoretical advances into practical systems. Based in Paris, he combines deep algorithmic insight with a focus on creating simulation pipelines that produce the high-quality data robotics needs.
8 years of coding experience
4 years of employment as a software developer
Mathematics, Physics and Chemestry, Mathematics, Physics and Chemestry at Lycée Saint Louis
Doctor of Philosophy - PhD, Mathematics and Computer Science, Doctor of Philosophy - PhD, Mathematics and Computer Science at École normale supérieure
Mathematics and Computer Science, Mathematics and Computer Science at École Nationale des Ponts et Chaussées
English, French, Spanish