Mattes Mollenhauer

About

In recent years, I have worked on modeling problems across molecular dynamics, satellite imaging, forensic genetics, wireless communications, and thermodynamics—sometimes on the experimental side and sometimes in safety-critical production systems.

I received my PhD in Mathematics in 2022 under the supervision of Christof Schütte in the Biocomputing group at Freie Universität Berlin. In my dissertation, I investigated nonparametric models for Markov processes. During my PhD program, I spent some time doing R&D in the aircraft engine development division of Rolls-Royce Deutschland.

During my time as a postdoctoral researcher in the group of Claudia Schillings at Freie Universität Berlin, I worked on the mathematical theory of operator learning and conditional mean embeddings, developing statistical guarantees for the theoretical foundation of approaches in causal machine learning, reinforcement learning and uncertainty quantification.

Publications and preprints

Contact

mattes.mollenhauer (at) merantix-momentum.com