معرفی
Richard Clayton is Professor of Computational Physiology and Director of Research and Innovation in the School of Computer Science at the University of Sheffield. He holds a first degree in Applied Physics and Electronics from the University of Durham and a PhD in Medical Physics from the University of Newcastle upon Tyne. As a core member of the INSIGNEO institute for in-silico medicine, his research develops physics-based computational models to investigate cardiac arrhythmias and electrophysiological mechanisms.
Research focuses on ventricular fibrillation dynamics, uncertainty quantification in physiological models, and machine learning applications in cardiac imaging. Recent publications analyze rotor formation, tissue coupling effects, and arrhythmia prediction using multi-scale modeling approaches.
His work has secured major funding including:
- Networks of Cardiovascular Digital Twins (EPSRC, £8.8M)
- South Yorkshire Digital Health Hub (EPSRC, £3.2M)
- Uncertainty Quantification in Cardiac Models (EPSRC, £460K)
- Neurocardiac Interactions in Sudden Death (BHF, £128K)
He leads the Complex Systems Modelling research group and supervises doctoral research in computational cardiology.
