Summary
Martin Horvat is a Senior Data Science Expert and physicist with over a decade of experience bridging computational physics, high-performance computing, and applied data science in both academia and industry. He combines a PhD in Condensed Matter Physics with deep expertise in non-equilibrium quantum and statistical physics, dynamical systems and astrophysical modeling, and has led Linux cluster administration and HPC provisioning for a major university physics department. Currently at Novartis Slovenia, he brings research-grade numerical methods and scientific software engineering to real-world data problems, previously applying the same skills at Lek and in postdoctoral roles across Europe and the U.S. As an assistant professor he develops educational software and runs experimental labs, reflecting a strong commitment to pedagogy alongside research and consulting. Colleagues value his rare mix of theoretical rigor, hands-on systems administration, and practical consulting in physics-driven computing.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Condensed Matter and Materials Physics, Doctor of Philosophy (PhD), Condensed Matter and Materials Physics at University of Ljubljana, Faculty of mathematics and physics
English, slovene, German