Peter Charlton is a Senior Research Scientist at Nokia Bell Labs, specialising in signal processing for wearables with a focus on healthcare applications. He explores what physiological information is contained in wearable signals, develops algorithms to extract it reliably, and investigates how the results can support clinical care.

Peter gained an M.Eng. in Engineering Science from the University of Oxford in 2010, graduating with first-class honours. From 2010 to 2020, he conducted research at King’s College London, developing techniques to monitor cardiovascular and respiratory health using wearable sensors. His Ph.D. focused on applying signal processing and machine learning to identify acute deteriorations in hospital patients. Between 2020 and 2025, he was a BHF Fellow at the University of Cambridge, where he developed techniques to use clinical and consumer devices for atrial fibrillation screening and led a clinical study assessing the acceptability and performance of wearables in older adults.

He shares his research openly through data, algorithms, and educational resources.