Pascal Huber is a trader and physicist with a decade of experience combining quantitative research and machine learning to extract volatility alpha at a leading trading firm. He holds an M.Sc. in Physics and completed a machine learning–focused master thesis in computer vision, blending rigorous academic research with production-oriented ML work from roles at Siemens Energy and Heidelberg University. Comfortable in both research and engineering contexts, he contributes to open-source infrastructure—maintaining packages for the well-known Void Linux distribution by patching builds for musl libc and OpenSSL—highlighting a practical systems-minded skillset not obvious from his trading title alone. Based in Amsterdam, Pascal pairs a strong mathematical background with hands-on software maintenance and an international education that spans Germany and Italy.
10 years of coding experience
3 years of employment as a software developer
Semester Abroad, Physics, Semester Abroad, Physics at Università degli Studi di Padova
Master of Science, Physics, Master of Science, Physics at Ruprecht-Karls-Universität Heidelberg
Master Thesis, Computer Vision & Learning Group, Master Thesis, Computer Vision & Learning Group at Ludwig-Maximilians-Universität München
Bachelor of Arts, International Business, Bachelor of Arts, International Business at Duale Hochschule Baden-Württemberg
Contributions:15 reviews, 17 commits, 48 PRs in 23 days
Contributions summary:Pascal primarily contributes to the `void-packages` repository by updating package versions and applying patches. Their work involves modifying build scripts and configuration files for various software packages, ensuring they integrate correctly within the Void Linux distribution. The commits demonstrate a focus on maintaining software packages, specifically addressing bugs and security vulnerabilities by applying patches and updating dependencies. A key aspect of their contribution involves adapting software for the musl libc and OpenSSL versions.
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