Summary
Matthias Beaupère is an applied-math–trained research engineer in Paris with 11 years’ experience bridging high-performance numerical research and production software. After a PhD focused on distributed tensor compression, communication-avoiding linear algebra and scalable C++/MPI implementations on academic supercomputers, he now applies that expertise at CEA to tackle multidisciplinary, computationally intensive problems. He has also built full-stack Industry 4.0 SaaS solutions and low-level banking-data tools, giving him hands-on fluency from sensors and mainframes to distributed HPC code. Patient and resilient, he enjoys solving human and technical complexity and bringing specialized research tools into collaborative teams to push projects forward. An often-overlooked strength is his track record of turning advanced numerical ideas into production-ready, optimized implementations across diverse environments.
11 years of coding experience
1 year of employment as a software developer
Docteur en mathématiques appliquées, Mathematics and Computer Science, Docteur en mathématiques appliquées, Mathematics and Computer Science at Sorbonne Université
Engineering diploma, Computer science and mathematics, Engineering diploma, Computer science and mathematics at Grenoble INP - Ensimag
Master 2 (M2), Scientifique computing, Master 2 (M2), Scientifique computing at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
French, English