Summary
Jules Kouatchou is a computational scientist with over 17 years of experience marrying high-performance computing, numerical Earth system models, and practical AI/ML solutions for NASA and academic partners. He specializes in porting, benchmarking and refactoring complex atmospheric and Earth-science models (GEOS CCM/CTM, LIS, NU-WRF, GMI) on HPC systems while also automating workflows and maintaining Python ecosystems for large research teams. Jules regularly bridges the gap between scientists and software by designing training (over 700 learners/year), documentation, and tools that make advanced modeling and ML accessible and reproducible. His background spans hands-on code componentization and performance profiling to leading Python and Fortran instruction, reflecting deep expertise in both research software engineering and pedagogy. Based in Ilchester, MD, he combines a PhD in Computational and Applied Mathematics with a track record of productionizing scientific code and integrating AI into operational research pipelines.
12 years of coding experience
16 years of employment as a software developer
Maitrise, Applied Mathematics, Maitrise, Applied Mathematics at Universite Montpellier II
Doctor of Philosophy (PhD), Computational and Applied Mathematics, Doctor of Philosophy (PhD), Computational and Applied Mathematics at The George Washington University
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at Ecole Nationale Superieure des Telecommunications, Paris, France
English, French