Summary
Nis Meinert is a Team Lead and ML/AI researcher with 11 years of experience blending particle-physics rigor, high-performance C++ engineering, and practical Python-driven machine learning. At the German Aerospace Center he leads a team developing anomaly detection, target tracking, and traffic prediction for maritime X-band radar systems, applying non-linear filtering and modern ML in safety-critical settings. His background includes applying physics-informed neural operators to real-world flood and wildfire problems at Frontier Development Lab and accelerating CFD and RL tooling in C/C++ for Pasteur Labs & ISI. A PhD in high-energy physics underpins his strength in statistical inference and large-data experimentation, including first-time discovery work on LHCb. He’s equally at home pondering SIMD and clean C++ APIs as he is prototyping neural surrogates, and—less obvious—has a long-standing affection for APL that reflects a taste for concise, powerful abstractions. Based in Neustrelitz, Germany, he combines hands-on implementation with strategic leadership to turn complex physical problems into deployable, high-performance solutions.
11 years of coding experience
6 years of employment as a software developer
Abitur (G9), Abitur (G9) at Ville-Gymnasium Erftstadt
Bremer Online Physik Studienvorkurs, Physics, Bremer Online Physik Studienvorkurs, Physics at University of Bremen
Dr. rer. nat., High Energy Physics, Dr. rer. nat., High Energy Physics at Universität Rostock
German, English