Dr. Stefan Van Duijvenboden

Biography

Stefan van Duijvenboden is a researcher in Health Data Science at the University of Oxford's Medical Sciences Division. His work primarily involves developing methods for analyzing complex time-series datasets, particularly in the field of wearable technology that includes electrocardiogram (ECG) sensors. Stefan aims to improve prediction and uncover novel mechanisms related to cardiovascular disease, focusing on the interaction between the autonomic nervous system and the heart. His research suggests that the autonomic nervous system plays a critical role in the development and progression of cardiovascular diseases. His studies have ranged from measuring intracardiac ECGs in patients to large-scale population studies using data from the UK Biobank, evaluating genetic factors and prognostic values of ECG markers. With a background as a technical physician (MSc from the University of Twente, Netherlands), he has integrated knowledge of physiology with skills in biomedical signal processing to enhance diagnostics and prognostics in healthcare. During his PhD studies in biomedical engineering at University College London (UCL), he explored cardiac repolarization and the nervous system's control over it. Additionally, he was part of the Electrogenomics Group at UCL and Queen Mary University of London, where he investigated genetic influences on the cardiac electrical system's response to exercise, processing extensive ECG datasets and conducting genetic association survival analyses.

Research Interests