Marcel Arpogaus is a co-founder and research associate with 8 years of experience focused on applying AI and control algorithms to accelerate electrification and renewable integration in medium- and low-voltage grids. He combines hands-on machine learning research—evidenced by a master’s thesis on probabilistic short-term load forecasting using conditional normalizing flows—with practical IoT and SoC engineering from roles at Bosch and semiconductor firms. Based in Constance, Germany, Marcel leads student projects and supervises theses to grow talent in climate-critical technologies while building flowgrids to commercialize intelligent grid management. His background in electrical engineering and computer science gives him a rare cross-domain fluency, enabling both firmware-level development and scalable AI solutions for grid operators.
8 years of coding experience
6 years of employment as a software developer
Masters's Computer Science, Masters's Computer Science at HTWG Hochschule Konstanz – Technik, Wirtschaft und Gestaltung
Bachelor Electrical Engineering and Information Technology, Bachelor Electrical Engineering and Information Technology at TH Nürnberg
Doctor of Science Computer Science, Doctor of Science Computer Science at The University of Göttingen
Contributions:72 commits, 2 PRs, 52 pushes in 3 years 1 month
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