Stefan van Duijvenboden is a researcher in the wearables group at the Big Data Institute and Nuffield Department of Population Health. He develop methods to analyse complex time-series datasets to investigate if wearable ECG sensors can improve the prediction of, and discovery of novel mechanisms for, cardiovascular disease. One of his main research interests is the interaction between the autonomic nervous system and the heart.

Stefan was originally trained as a technical physician (MSc, University of Twente, Netherlands). During his PhD studies in biomedical engineering at UCL, he performed experimental studies in patients to investigate how cardiac repolarisation is controlled by the autonomic nervous system. After PhD, he joined the Electrogenomics Group at UCL and Queen Mary University of London to investigate the genetic influences in the response of the cardiac electrical system to exercise.