Nicolas Offermans is a Math Algorithm Engineer with a PhD in Engineering Mechanics and a decade of experience blending numerical analysis, CFD and high-performance computing into production software. He has developed and optimized numerical methods for fluid dynamics at KTH and contributed to exascale-ready code within the ExaFLOW project, and now applies that expertise at Intel. Comfortable in C, Fortran and Python and fluent with MPI/OpenMP and Linux toolchains, he pairs deep math intuition with practical software engineering from research prototypes to enterprise systems. He has presented internationally and completed a research stint at Argonne National Laboratory, underscoring his ability to translate cutting-edge research into collaborative, high-impact engineering. Known as a quick learner and persistent problem solver, he seeks challenging roles that leverage both algorithmic rigor and scalable implementation.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering Mechanics, Doctor of Philosophy - PhD, Engineering Mechanics at KTH Royal Institute of Technology
Collège Saint-Michel Verviers
Master 2, Engineering Physics/Applied Physics - Fluid dynamics, Master 2, Engineering Physics/Applied Physics - Fluid dynamics at Université de Liège
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