Summary
Julia Schaumeier is a postdoctoral researcher and applied mathematician with 11 years' experience building models and optimisation tools for complex adaptive systems across transport, smart cities and manufacturing. She combines a PhD in Artificial Intelligence with a Diplom in Mathematics to tackle interdisciplinary problems—from self-organising network architectures to data-driven analyses of shipping behaviour and regulatory impacts. Currently at TU Munich she researches integrated product–service systems and innovation cycles in cyber‑physical manufacturing, having previously developed researcher-friendly tooling and visualisations for large maritime datasets at UCL. Her background spans academia and industry (including KINEXON and Bauhaus Luftfahrt), giving her a practical bent for turning theoretical foundations into usable systems. Colleagues describe her work as marrying sustainability-aware efficiency with rigorous mathematical insight, and outside the lab she recharges by learning languages, cooking for friends and cycling.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Artificial Intelligence, Doctor of Philosophy (Ph.D.), Artificial Intelligence at Imperial College London
Mathematics, Mathematics at Université libre de Bruxelles
Mathematics, Mathematics at Université des Sciences et Technologies de Lille (Lille I)
Diplom der Mathematik, Mathematics, Diplom der Mathematik, Mathematics at Universität Augsburg
German, French, English, Italian, Portuguese