Summary
Janis Mohr is a research-focused computer scientist and lecturer with nine years of experience bridging mechatronics and informatics, currently pursuing a PhD while working at Bochum University of Applied Sciences and teaching at Volkshochschule Velbert/Heiligenhaus. He specializes in data science, machine learning—particularly neural architectures—quantum informatics and learning analytics, and has a steady record of publications that advance both theory and applied research. His background in mechatronics gives him a practical systems perspective on ML problems, enabling cross-disciplinary collaborations with industry and academic partners. Known for independent academic rigor and effective team contribution, he regularly contributes private projects under HuginMuninDevelopment on GitHub. Based in the Cologne–Bonn region, he blends hands-on experimentation with methodical research to turn complex challenges into innovative solutions.
9 years of coding experience
Master of Science - MS, Informatics, 1,3, Master of Science - MS, Informatics, 1,3 at Hochschule Bochum - Bochum University of Applied Sciences
English, German