Rouven Jahnke

I am an undergraduate reading for a BSc in mathematics at the Universität Bonn, with a focus on algebra, algebraic geometry, and topology, and the long-term aim of pursuing doctoral research in algebraic geometry.

My interests sit, broadly, around schemes and sheaves, intersection theory, and classical results that connect the two — for instance, the configuration of the twenty-seven lines on a smooth cubic surface. I am at an early stage and most of what appears here is in progress; corrections are welcome.

Alongside the pure mathematics, I work on trustworthy machine learning: certified robustness of neural networks, and in particular sharp estimation of the Lipschitz constant — the quantity that bounds how far a network's output can move under a bounded perturbation of its input. I am currently a research intern at the DLR Institute for AI Safety and Security, and from September 2026 a student research assistant at the CAISA Lab (Lamarr Institute, Bonn).