Mathias Louboutin is a Senior Solutions Architect and Ph.D. in Computer Science from Georgia Tech with a decade of experience building high-performance, cloud-native scientific computing solutions. He specializes in domain-specific languages and finite-difference PDE solvers (Devito), large-scale PDE-constrained optimization, and the application of ML to inverse problems such as seismic exploration and medical imaging. Mathias combines hands-on HPC and cloud expertise (AWS, GCP, Azure) with production consulting and client support at Devito Codes, bridging research-grade algorithms and deployable systems. An active open-source contributor, he has improved core numerical tooling including contributions to SymPy and maintains Devito/DevitoPRO software used for wave-equation inversion. He is comfortable moving from symbolic code generation to optimized parallel kernels and has a track record supervising research software and managing computational resources. Based in Auburn, Georgia, he brings a rare blend of academic rigor and practical engineering that accelerates physics-informed ML into production.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, A, Doctor of Philosophy - PhD, Computer Science, A at Georgia Institute of Technology
Doctor of Philosophy - PhD, Geophysics and Seismology, A, Doctor of Philosophy - PhD, Geophysics and Seismology, A at The University of British Columbia
Master of Science; French mathematics Master degree, Mathematics; Modelling; Applied mathematics, Master degree, Master of Science; French mathematics Master degree, Mathematics; Modelling; Applied mathematics, Master degree at Université de Rennes 1
Ingeneering school, Aeronautics/Aviation/Aerospace Science and Technology, General, Ingeneering school, Aeronautics/Aviation/Aerospace Science and Technology, General at ENSICA
Contributions:1 review, 7 commits, 5 PRs in 2 months
Contributions summary:Mathias primarily contributed to the SymPy library by addressing issues related to mathematical simplification and matrix operations. Their work involved correcting the behavior of the `collect` function, ensuring correct replacement of variables and handling dependencies. They also made changes to enforce scalar multiplication when explicitly specified and resolved priority issues in matrix multiplication. These contributions indicate a focus on improving the core functionality and stability of the computer algebra system.
Contributions:5 commits, 1 PR, 5 pushes in 3 years 5 months
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Mathias Louboutin - Senior Solutions Architect at Devito Codes Ltd