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Researcher Details
 
Name: Professor RH Clayton
Organisation: University of Sheffield
Department: Computer Science
Current EPSRC-Supported Research Topics:
Complexity Science Med.Instrument.Device& Equip.
Medical science & disease Non-linear Systems Mathematics
Statistics & Appl. Probability

Current EPSRC Support
EP/P010741/1 Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models(P)
EP/K037145/1 Forecasting personal health in an uncertain environment(P)
Previous EPSRC Support
EP/L001101/1 Network: POEMS - Predictive mOdelling for hEalthcare technologies through MathS(P)
EP/F009461/2 Advancing Machine Learning Methodology for New Classes of Prediction Problems(C)
EP/F009461/1 Advancing Machine Learning Methodology for New Classes of Prediction Problems(C)
EP/C532759/1 High throughput electrophysiological, electromagnetic & electromechanical cardiac virtual tissue engineering(C)
GR/S62338/01 The Epitheliome: computational modelling of epithelial tissue(C)
GR/S62321/01 The Epitheliome: computational modelling of epithelial tissue(C)
GR/S72023/01 eScience Pilot Project in Integrative Biology(C)
GR/S43498/01 Large-scale parallelisation of electro-physiological and mechanical cardiac virtual tissues(C)
GR/R92592/01 Virtual tissue engineering of gravid uterus(C)
GR/R96231/01 Visualization Middleware for e-Science(C)
GR/R40838/01 NETWORK: Enabling Techniques for Functional Genomics: Validation and Application(C)
GR/N04324/01 NETWORK: ENGINEERING VIRTUAL TISSUES AND ORGANS(C)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator