Benjamin Maier is a Principal Data Scientist based in Berlin who translates theoretical physics and complex-systems insight into production-ready statistical software and simulation platforms. With a PhD in theoretical physics and over a decade of interdisciplinary research, he has built large-scale analytics and custom algorithms—from shortest-path methods on 5M-node networks to probabilistic modeling tools—and advised the German government on COVID-19 mitigation. He blends hands-on full‑stack development, open-source contributions to the PyMC ecosystem, and AI consulting to deploy model-informed decision support across public sector and industry clients. Notably, his work spans synthetic consumer and agentic data systems, fractal-based urban modeling, and high-performance infectious-disease simulations, demonstrating an unusual mix of mathematical rigor and product-minded engineering.
10 years of coding experience
8 years of employment as a software developer
Utrecht University
Master of Science (M.Sc.), Physik, Master of Science (M.Sc.), Physik at Humboldt-Universität zu Berlin
TemporAl COntact Modeling and Analysis. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.
Contributions:484 commits, 1 PR, 111 pushes in 3 years 9 months
gillespietemporalssamodelinganalyze
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