Jukka Aho
Senior Scientist at VTT
Finland
Summary
👤
Senior🎓
Top SchoolJukka 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 SciencesMaster'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
Github Skills (200)
cartesian10
julia10
partial10
programming-language10
aster10
python10
scale10
numerical10
inp10
storage10
github-pages10
tie10
frontpage10
machine-learning10
hpc10
Programming languages (15)
Github contributions (5)
ahojukka5/NodeNumbering.jl
Jul 2017 - Aug 2017
Contributions:30 commits, 28 PRs, 79 pushes in 1 month
nodesjulia-languagerenumberjulia
JuliaFEM/JuliaFEM.jl
May 2015 - May 2020
The JuliaFEM software library is a framework that allows for the distributed processing of large Finite Element Models across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Contributions:8 releases, 794 commits, 209 PRs in 5 years
computationlibrary-softwarescale-upfmimachines
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.