Summary
Sébastien Morais is a Senior R&D Engineer and PhD-trained computer scientist specializing in combinatorial scientific computing, mesh partitioning, and simulation workflows for HPC environments. He combines academic rigor—authored award-winning publications on memory-aware mesh partitioning—with hands-on software engineering at organizations like CEA and Ansys, developing Python APIs, workflow platforms and in-situ data tools. As an associate professor he teaches software technologies, open-source development and decision-support methods, bringing classroom practice to real-world codebases (Python, C/C++, Java, Rust) and CI-driven workflows. Colleagues rely on him to bridge physicists, HPC operators and developers to produce scalable, memory-conscious solutions—an orientation rooted in his doctoral work on constrained partitioning that continues to shape production simulation pipelines.
2 years of coding experience
Thèse de doctorat, Informatics, Thèse de doctorat, Informatics at Université d'Évry
French, English, Spanish