Summary
Philippe Bussetta is a data scientist and numerical mechanics specialist with nine years of experience blending advanced research and industrial R&D at Michelin. He holds a PhD in mechanical contact modeling and has a strong track record developing numerical methods for nonlinear mechanics, composite forming and wear, with research positions spanning Europe and Brazil. At Michelin he progressed from numerical engineer to material-level adhesion expert and now explores AI technologies for industrial applications, bridging physics-based modeling and data-driven methods. His work often focuses on practical simulation challenges—mesh coupling, thermomechanical processes and model updating—translating academic techniques into production-relevant solutions. Based in Clermont-Ferrand, he brings deep domain expertise in continuum mechanics paired with emerging skills in applied AI, making him effective at turning complex multiphysics problems into deployable insights. An uncommon strength is his sustained continuity between fundamental research and hands-on industrial implementation, enabling faster transfer of novel methods into engineering practice.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Modelling and Resolution of Mechanical Contact Problem and Application in the Multiphysic Field, Doctor of Philosophy (Ph.D.), Modelling and Resolution of Mechanical Contact Problem and Application in the Multiphysic Field at Université du Québec à Chicoutimi
Mechanical Engineer, Mechanical Engineer at Ecole centrale de Marseille
French, English, Spanish, Portuguese