Summary
Andrii Tykhonov is an Assistant Professor and Principal Investigator of the ERC-funded PeVSPACE project, applying cutting-edge AI to boost science return from space astroparticle missions. With over a decade of experience in high-energy physics and space instrumentation, he blends deep physics expertise from his PhD and ATLAS work with robust software engineering skills developed across GRID, reconstruction, and pattern-recognition systems. He led detector-performance evaluation and end-to-end data-processing frameworks for a Galactic Cosmic Rays satellite project, delivering production-quality, reliable code used in active missions. His earlier contributions excluded a dark matter hypothesis in LHC analyses and produced stable WLCG storage tools, reflecting a rare combination of impactful physics results and dependable infrastructure tooling. Based in Geneva, he pairs rigorous academic research with hands-on software craftsmanship, often building bespoke algorithms (e.g., custom interpolation and pattern-recognition) that bridge raw detector signals to high-level scientific insight.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University of Ljubljana
Master's degree, High Energy Physics, 97.5% (4.875 out of 5), Master's degree, High Energy Physics, 97.5% (4.875 out of 5) at Odessa State Polytechnic University
English, Russian, Ukrainian, Slovenian