David Guibert is a Senior HPC expert with 17 years’ experience optimizing computational codes for CFD, weather and climate applications and deploying high-performance software stacks on top-tier clusters. He specializes in numerical methods for HPC and pragmatic language and tooling innovations that reduce maintenance costs while preserving peak performance. A longtime member of the Center for Excellence in Performance Programming, he has hands-on experience porting MPI/OpenMP/GPU codes at scale—including billion-particle SPH runs—and has set up and administered on-prem and cloud HPC platforms. He is attentive to reproducible science and FAIR principles, using benchmarking and optimized stacks to make performance results auditable and portable. Notably, his background blends doctoral-level math research with practical cluster administration and rapid software deployment, enabling both algorithmic insight and production-ready delivery.
17 years of coding experience
1 year of employment as a software developer
Thèse, Mathématiques, Thèse, Mathématiques at Université Claude Bernard Lyon 1
Ingénieur, Modélisation et Calcul Scientifique, Ingénieur, Modélisation et Calcul Scientifique at Polytech Lyon
Contributions:22 pushes, 12 branches in 2 years 2 months
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