Summary
Peter Charlton is an engineer and researcher with a decade of experience specialising in signal processing for wearables, focused on extracting reliable physiological information from consumer and clinical devices to improve health and wellbeing. He has progressed from hands-on wearable sensor research to leading translational work—publishing methods for atrial fibrillation screening, building open-source toolboxes for longitudinal ECG analysis, and bridging clinicians and engineers to target high-impact medical problems. As a British Heart Foundation Research Fellow and former Senior Research Scientist at Nokia Bell Labs, he has combined machine learning innovation (including metadata-driven ECG foundation models) with practical clinical collaboration and mentorship. Based in Cambridge, he now serves on the Executive Board of the EPSRC-funded UK Open Multimodal AI Network, applying multimodal AI to real-world engineering challenges. A less obvious strength is his background in theology and ethics (AKC), which informs a thoughtful, human-centred approach to developing health technologies.
10 years of coding experience
10 years of employment as a software developer
Master of Engineering (MEng), Engineering Science, Master of Engineering (MEng), Engineering Science at University of Oxford
Doctor of Philosophy (PhD), Biomedical Engineering, Doctor of Philosophy (PhD), Biomedical Engineering at King's College London