Michael Baudin is an applied mathematics engineer and educator with eight years of formal experience and over two decades of technical work spanning R&D, numerical simulation and uncertainty quantification. He has driven development, specification and user support for OpenTURNS and Persalys at EDF, bridging open-source statistical libraries with industrial simulation workflows. As a recurring lecturer at Université Paris 13, ISEP and INSTN, he teaches uncertainty treatment and numerical methods to master and engineering students, translating research-grade methods into practical coursework. His early career combined high-performance Fortran/C++ development, MPI parallelization and optimization for aerospace, oil & gas and space projects, reflecting deep competence in scientific computing and applied probability. Comfortable in both research and production contexts, he pairs algorithmic rigor with hands-on implementation and user training. An unexpected thread through his career is a consistent focus on making advanced uncertainty tools accessible to practitioners via documentation, training and software interfaces.
8 years of coding experience
Diplôme d'ingénieur, Modélisation mathématique et mécanique, Diplôme d'ingénieur, Modélisation mathématique et mécanique at ENSEIRB-MATMECA
Contributions:9 reviews, 17 PRs, 12 pushes in 10 months
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Michael Baudin - Enseignant at Université Paris 13