Summary
Jan Werth is a Lead Data Scientist with eight years of experience applying signal processing and deep learning to clinical problems, notably automated preterm infant sleep analysis in collaboration with Philips Research, TU Eindhoven and Maxima Medical Center. He leads data-driven solutions at PHYTEC, combining hands-on model development (TensorFlow/Keras) with practical pipelines for preprocessing, augmentation and feature engineering to tackle heavily unbalanced time-series data. His background in electrical engineering and clinical trial supervision helps him bridge research, regulatory and clinical stakeholders, translating complex technical work into actionable outcomes. Jan has a track record of generating intellectual property and integrating algorithms into clinical workflows, and he has driven cross-disciplinary initiatives like microneedle electrode circular-economy projects. Known for strong communication and networking skills, he creates collaborative environments that align diverse stakeholder needs toward deployable AI solutions. Outside pure modeling, his early hands-on training as a carpenter and nursing service experience give him an uncommon practical perspective on design, usability and care-centered engineering.
8 years of coding experience
Journeyman / Geselle, Joiner / carpenter, 2.3, Journeyman / Geselle, Joiner / carpenter, 2.3 at School for wood technology’s Stuttgart Zuffenhausen
Bachelor of Engineering (B.Eng), Elektrotechnik und Elektronik, 2.5, Bachelor of Engineering (B.Eng), Elektrotechnik und Elektronik, 2.5 at Hochschule Trier
Doctor of Philosophy (Ph.D.), Electrical Engineering, Doctor of Philosophy (Ph.D.), Electrical Engineering at Technische Universiteit Eindhoven
Dutch, Latin, English, German