Hannu Siikonen is an Algorithm Specialist in 3D imaging with 14 years of experience bridging advanced physics, mathematics and production-grade C++ software. He holds a PhD in experimental particle physics where he designed algorithms and handled big-data analysis on the global LHC computing grid, and now applies that expertise to tomographic x‑ray reconstruction at Planmeca. Known for keeping programming skills tightly aligned with theory, he combines rigorous academic training (top GPAs from Aalto and University of Helsinki) with hands-on engineering to turn complex inverse problems into reliable implementations. He has a track record of mentoring students and teaching advanced mechanics and electromagnetism courses, reflecting strong communication and supervision experience beyond pure research. Notably, his background in jet physics and large-scale data workflows gives him a practical edge when optimizing high-performance imaging pipelines.
14 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.), Engineering Physics, GPA 4.98/5, Master of Science (M.Sc.), Engineering Physics, GPA 4.98/5 at Aalto University
Doctor of Philosophy - PhD, Experimental Particle Physics, GPA 4.74/5.00, Doctor of Philosophy - PhD, Experimental Particle Physics, GPA 4.74/5.00 at University of Helsinki
English, Finnish, Swedish, French, German, Japanese
Contributions:1 release, 141 pushes, 1 tag in 1 year 6 months
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