Summary
Joeri Verbiest is a data engineer with an electrical engineering and PhD background, bringing eight years of multidisciplinary experience across academia and industry. He currently works at Hasselt University’s Data Science Institute and supports biomedical data science projects, combining signal processing, sensor data cleansing and scalable data pipelines. His career spans embedded machine learning, IoT platforms and hardware-aware ML (ML@E2dge), reflecting a rare blend of hands-on electronics, firmware and Python-based data tooling. Joeri has contributed to R&D in life sciences and medical devices, including patent-driven instrumentation work and wireless power/RF design for high-tech labs. Comfortable moving between prototyping hardware and production data workflows, he often surfaces practical solutions that bridge experimental research and operational analytics. Based in Olen, Belgium, he pairs rigorous academic training with an engineer’s pragmatism to make complex measurement data useful and reliable.
8 years of coding experience
14 years of employment as a software developer
dr. PhD, Doctoral degree in Engineering Science, dr. PhD, Doctoral degree in Engineering Science at KU Leuven
Ing. MSc, Electrical Engineering, Cum Laude, Ing. MSc, Electrical Engineering, Cum Laude at De Nayer Instituut Sint Katelijne Waver
Industriële wetenschappen, Industriële wetenschappen at KTA 1 Diest
ir. MSc, Electrical Engineering, Cum Laude, ir. MSc, Electrical Engineering, Cum Laude at Katholieke Universiteit Leuven
Dutch, English