Professor Richard Clayton
PhD
School of Computer Science
Professor of Computational Physiology
Director of School - Research and Innovation
Member of the Complex Systems Modelling research group
Full contact details
School of Computer Science
Regent Court (CS)
211 Portobello
Sheffield
S1 4DP
- Profile
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Richard Clayton has 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. After completing his PhD, Richard continued research at the Freeman Hospital in Newcastle upon Tyne, funded by British Heart Foundation junior and intermediate fellowships.
The main focus of these projects was on understanding the electrical mechanisms that underlie life-threatening disorders of heart rhythm, based on the analysis of data recorded from patients. A move to the University of Leeds, funded by a British Heart Foundation Lectureship enabled Richard to work on developing mechanistic models of cardiac electrophysiology in the human heart.
Richard Clayton was appointed Senior Lecturer in the School of Computer Science in Sheffield in 2003, promoted to Reader in Computer Science in 2008, and Professor of Computational Physiology in 2014. He is a core member of the INSIGNEO institute for in-silico Medicine, and serves on the INSIGNEO board.
- Research interests
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Richard Clayton’s research interests are focussed on developing physics-based and mechanistic computational models and simulations as tools to examine the structure and function of human tissues and organs. This theme aligns with the recently established INSIGNEO institute for in-silico medicine in Sheffield.
Richard Clayton has had a long running interest in developing computational models to investigate the mechanisms that initiate and sustain dangerous disorders of heart rhythm in the human heart, and this has been funded through grants and fellowships from the British Heart Foundation.
Recent funding from EPSRC will develop techniques to handle the quantification and propagation of uncertainty within multiscale models of physiology.
- Publications
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- Grants
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- Networks of Cardiovascular Digital Twins (CVD-Net), EPSRC, 10/2024 - 09/2029, £8,844,328, as Co-PI
- The South Yorkshire Digital Health Hub, EPSRC, 08/2023 - 08/2026, £3,211,468, as Co-PI
- In-Procedure Personalized Atrial Digital Twin to Predict Outcome of Atrial Fibrillation Ablation, EPSRC, 04/2022 - 03/2026, £314,026, as PI
- The SofTMech Statistical Emulation and Translation Hub, EPSRC, 03/2021 - 02/2026, £1,225,134, as Co-PI
- SANO: Centre for New Methods in Computational Diagnostics and Personalised Therapy, EC H2020, 08/2019 - 07/2026, £2,497,386, as Co-PI
- PRIMAGE: PRedictive In-silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers, EC H2020, 12/2018 to 05/2023, £549,018, as Co-PI
- Neurocardiac Interaction In Malignant Ventricular Arrhythmias And Sudden Cardiac Death, British Heart Foundation, 7/2017 to 03/2023, £128,604, as PI
- Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models, EPSRC, 05/17 to 04/22, £460,590, as PI
- EurValve: Personalised Decision Support for Heart Valve Disease, EC H2020, 02/2016 to 01/2019, £401,801, as Co-PI
- POEMS: Predictive Modelling for Healthcare through MathS, EPSRC, 04/2013 to 03/2017, £218,232, as PI
- Forecasting personal health in an uncertain environment, EPSRC, 03/2013 - 09/2017, £1,565,382, as PI
- Development of a novel diagnostic model of urinary dysfunction, Sheffield Hospitals Charitable Trust, 03/2014 to 08/2014, £15,715, as Co-PI
- Determination of thresholds for the development of ventricular arrhythmias using computer modelling, Sheffield Hospitals Charitable Trust, 03/2010 to 12/2014, £48,370, as Co-PI
- Advancing Machine Learning Methodology for New Classes of Prediction Problems, EPSRC, 03/2008 to 03/2010, £85,491, as Co-PI
- Initiation of re-entry and fibrillation in the ventricle: A mechanistic investigation using computational models, British Heart Foundation, 07/2004 to 06/2007, £97,443, as PI
- Professional activities and memberships
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- Member of the Complex Systems Modelling research group
- Member of INSIGNEO board
- Member of EPSRC review college