Jukka Aho is a Senior Scientist at VTT with 14 years of experience designing and optimising scientific algorithms for supercomputers and emerging quantum platforms. He builds scalable simulation frameworks—most notably OpenPFC, which he scaled to over 65,000 cores on LUMI with 8192^3 grids—bringing numerical physics and software engineering together for production-grade HPC workflows. His toolkit spans Julia, Python, C++, MPI and GPU programming, and he has hands-on experience running and benchmarking quantum algorithms like VQE and QAOA on real hardware. Jukka’s background in electrical, industrial and mechanical engineering gives him a pragmatic, systems-oriented approach that informs both architecture and algorithmic choices. He’s an active open-source advocate who balances academic rigor with delivery-focused engineering, having also prototyped real-time AI-backed voice assistants and industrial GPU-accelerated diagnostics as a consultant. Based in Finland, he prefers building shareable tools that let others reproduce and extend large-scale scientific computing results.
14 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Industrial Engineering, Bachelor's degree, Industrial Engineering at Lapland University of Applied Sciences
Master's degree, Mechanical Engineering, excellent / ECTS A (4.64 / 5), Master's degree, Mechanical Engineering, excellent / ECTS A (4.64 / 5) at University of Oulu
FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.
Contributions:6 releases, 35 commits, 37 PRs in 3 years 8 months
Contributions:14 commits, 8 PRs, 7 pushes in 1 year 8 months
bendingplatejulia-languagejulia
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