Jonas Emrich is a researcher and PhD candidate at the Technical University of Munich with eight years of experience in machine learning, signal processing, and biomedical sensing. He specializes in signal reconstruction for fetal magnetocardiography (fMCG) and has applied graph-based, community-detection, and explainable approaches to extract precise biomarkers from physiological signals. Jonas has published first-author papers at EUSIPCO and contributed algorithms to popular open-source packages such as NeuroKit2, while also releasing his own Python tools. His background spans applied research roles and industry experience in generative diffusion for 3D object synthesis during an internship at BMW Group. Known for combining rigorous academic training (top grades across Bachelor and Master studies and an exchange at Aalto) with practical engineering, he focuses on fast, interpretable methods that bridge lab prototypes and usable software. Colleagues value his knack for turning signal-processing theory into reproducible open-source implementations.
9 years of coding experience
1 year of employment as a software developer
Exchange Semester (Postgraduate / Master), Electrical and Communications Engineering, Exchange Semester (Postgraduate / Master), Electrical and Communications Engineering at Aalto University
Technischen Universität Darmstadt
Doctor of Science, Computer Engineering, Doctor of Science, Computer Engineering at Technical University of Munich
Abitur, Electrical Engineering, 1.0, Abitur, Electrical Engineering, 1.0 at Berufsbildende Schule 1 Mainz
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