Mathieu Gaborit is a Maître de Conférences and PhD researcher specializing in the modelling of thin and imperfect interfaces, blending numerical PDE solvers, stochastic methods (MC/MCMC) and machine learning approaches. With 14 years of experience across academia and research engineering roles in France and at KTH in Sweden, he bridges theoretical analysis and practical computational tools. He has taught and developed research programs at Le Mans Université while pursuing interdisciplinary work that spans acoustics and computational physics. Comfortable with uncertainty quantification and Bayesian methods, he leverages neural nets alongside classical solvers to tackle hard, noisy interface problems. An avid traveler who draws creative inspiration from international collaborations, he brings a global perspective to problem formulation and methodological innovation.
14 years of coding experience
4 years of employment as a software developer
Baccalauréat Général, Sciences de l'ingénieur, Admis (avec mention TB), Baccalauréat Général, Sciences de l'ingénieur, Admis (avec mention TB) at Lycée Saint Joseph
Master of Science (MSc), Acoustique, Expected, Master of Science (MSc), Acoustique, Expected at UFR Sciences Le Mans
Contributions:2 releases, 90 pushes, 1 branch in 7 years 4 months
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Mathieu Gaborit - Maître De Conférences at Le Mans Université