Stefan Miedzianowski is a mathematician-turned-AI scientist and Chief Scientist at DeepL, with a decade of experience bridging mathematical logic, research, and production-grade machine learning. He progressed through roles from researcher to VP of Research before taking the lead scientific role, combining deep theoretical training (MSc in Mathematics & Computer Science) with applied product work. Stefan contributes to open-source systems-level tooling—such as matrix and linear-algebra enhancements for the Rust nalgebra library—highlighting a hands-on approach to numerical infrastructure. Based in Munich, he blends rigorous research instincts with engineering pragmatism, and is particularly passionate about AI accessibility and shipping reliable models into real-world products.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS Mathematics and Computer Science, Master of Science - MS Mathematics and Computer Science at University of Münster
Contributions:6 commits, 1 PR, 3 comments in 1 day
Contributions summary:Stefan primarily contributed to the linear algebra library by implementing features related to matrix manipulation, such as removing rows and columns based on indices. Their work includes adding functionality for selecting rows and columns, resizing matrices, and extending matrix data. The commits show a focus on core matrix operations, storage management, and adapting the library for dynamic dimensions.
Contributions:1 review, 42 commits, 19 PRs in 1 year 8 months
rustrust-langdfinitywebassembly
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