Bastian Grossenbacher-rieck is a Full Professor and machine-learning researcher with 17 years of experience bridging pure mathematics and applied computation, currently based at the University of Fribourg and leading groups at Helmholtz Munich and TUM. Trained as a summa-cum-laude PhD in computer science from Heidelberg, he works at the intersection of geometry, topology, and ML, tackling foundational questions while shipping practical software—evidenced by contributions like a polished LaTeX thesis template that improves build reliability and Overleaf compatibility. He combines deep theoretical insight with hands-on engineering, mentoring academic teams and driving reproducible research practices. Known for persistence and a playful dedication to “doing geometry and topology for fun,” he also champions improvements to academic tooling and workflows that benefit students and collaborators.
17 years of coding experience
5 years of employment as a software developer
PhD, Computer Science, 1.0 (summa cum laude, with distinction), PhD, Computer Science, 1.0 (summa cum laude, with distinction) at Ruprecht-Karls-Universität Heidelberg
A minimal & modern LaTeX template for your (bachelor's | master's | doctoral) thesis
Role in this project:
Software Engineer (LaTeX Template Developer)
Contributions:102 commits, 19 PRs, 81 pushes in 5 years 2 months
Contributions summary:Bastian primarily contributed to the development and enhancement of a LaTeX thesis template. Their work involved modifying the class file to include new features, fonts, glossary styles, and language support. They also addressed build and dependency issues by adding and removing packages. Furthermore, the user refined the template, addressing issues related to page layout and ordinals, and implementing improvements for Overleaf compatibility.
Contributions:31 commits, 1 PR, 5 pushes in 4 years 7 months
packethilbert-curvesnetworkcurvesvisualization
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Bastian Grossenbacher-rieck - Full Professor at Technical University of Munich