Florian Beier

Florian Beier has been working as a postdoctoral researcher in the group “Mathematical Methods in Computer Science” under the supervision of Stephan Eckstein since May 2026. He is funded by the Walter Benjamin Program of the German Research Foundation (DFG).

He completed his bachelor’s and master’s degrees in mathematics at the Technische Universität ber He received his Ph.D. in 2024 from the same university under the supervision of Gabriele Steidl in the Department of Applied Mathematics.

Florian Beier focuses primarily on stochastic analysis and differential geometry in the space of probability measures. He employs models and methods of optimal transport, such as Wasserstein and Gromov–Wasserstein distances. The latter enable the analysis of heterogeneous measures defined on different spaces. He is particularly interested in using theoretical insights to design effective practical algorithms that can be applied, for example, to 3D image processing or statistical estimation.