Jan Thorbecke

Distinguished Technologist Performance And Application Engineer In HPC

Alphen, North Brabant, Netherlands
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Jan Thorbecke is a Distinguished Technologist and Performance/Application Engineer with over two decades of hands-on experience optimizing scientific codes for modern HPC platforms at HPE-Cray and in academia. He combines deep expertise in vectorisation, cache blocking, MPI/OpenMP scalability, IO optimization and meta-programming to wring performance from CPUs, GPUs and emerging architectures like Slingshot and ARM. Parallel to industry work, he conducts geophysics research at TU Delft, co-authoring 100+ peer-reviewed papers and teaching PhD-level HPC programming, while co-supervising graduate research. His background spans weather and climate models, CFD, material science and quantum mechanics, giving him rare cross-domain fluency in both numerical methods and production tuning. Known for turning complex numerical algorithms into lean, portable implementations, he also enjoys mentoring PhD students and running international workshops and courses. Ambitious to blend AI with deterministic numerical techniques, he’s equally comfortable in production benchmarking and cutting-edge seismic imaging research.
code12 years of coding experience
job10 years of employment as a software developer
bookfirst year, Philosophy, first year, Philosophy at Leiden University
bookMsC, Geophysics at Applied Earth Sciences, MsC, Geophysics at Applied Earth Sciences at Delft University of Technology
languagesEnglish, Dutch, German
github-logo-circle

Github Skills (6)

algorithms10
finite-difference10
geophysics10
modeling10
3d10
python6

Programming languages (2)

CPython

Github contributions (5)

github-logo-circle
JanThorbecke/OpenSource

Aug 2014 - Aug 2021

Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.
Contributions:3 releases, 384 commits, 3 PRs in 7 years
3dfinite-differencemarchenkowave-equationmodeling
JanThorbecke/MPIcourse

Apr 2019 - Jun 2019

Contributions:22 commits, 33 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial