Summary
Jure Brence is a Data Scientist and PhD candidate in Computer Science with eight years of experience bridging physics and machine learning, currently applying ML to spacecraft telemetry and time series anomaly detection at Bias Variance Labs for ESA projects. He combines a strong experimental physics background (Master's in Physics and hands-on work in ultracold atoms and nonlinear optics) with research roles at the Jožef Stefan Institute focused on equation discovery, surrogate modeling, and ML for scientific discovery. As a teaching assistant he has led advanced machine learning and data analysis practicals, demonstrating both technical depth and the ability to translate complex concepts for learners. Jure’s work spans practical engineering and foundational research, including explorations in quantum computing and knowledge graphs, which helps him tackle interdisciplinary problems from first principles. Based in Ljubljana, he is comfortable moving models from theory to applied systems in industry and research settings, often finding unexpected physics-informed insights in data.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Physics, 2, Master's degree, Physics, 2 at University of Vienna
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Mednarodna podiplomska šola Jožefa Stefana
Master's degree, Physics, Master's degree, Physics at University of Ljubljana, Faculty of Mathematics and Physics
English, Slovenian, German