Summary
Martin Topinka is a researcher and data scientist with 12 years of experience applying machine learning, statistical data mining, and high-performance computing to high-energy astrophysics and robotic telescope projects. He has led software development for telescope control and data pipelines (notably the Watcher robotic telescope and the GLORIA intelligent array) while conducting independent research on gamma-ray bursts, neutron star mergers, and the high-z universe. His work spans numerical MHD simulations, Monte Carlo population modeling, and offline searches for short transients in archival satellite data, combining rigorous simulation skills with production-grade engineering. Comfortable in both academic and applied settings, he has contributed to JWST software efforts and developed scalable HPC solutions earlier in his career. Based in Ireland, he blends observational follow-up, citizen-science web apps, and machine learning approaches to accelerate transient discovery and interpretation.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at University College Dublin
Master's degree, Theoretical physics and Astrophysics, Master's degree, Theoretical physics and Astrophysics at Charles University in Prague
Czech, English, French, German, Slovak, Polish, Spanish, Italian