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Resume (English only)
Research Experience
Leading development of cardiac electrophysiology models for pro-arrhythmic risk assessment in safety pharmacology
Investigating models of drug action on ion channels, including conductance block, state-dependent, voltage-dependent, and allosteric block mechanisms
Designing and testing improved experimental protocols to enhance reliability of mathematical models at ion channel and whole-cell levels
Contributing to the Comprehensive in-vitro Pro-arrhythmia Assay (CiPA) initiative to improve drug safety evaluation in industry and regulatory policy
2011–2012: Funded by GlaxoSmithKline Grants and Affiliates award to develop a simulation tool for pro-arrhythmic risk prediction
2008–2011: Worked on the European Commission PreDiCT project on prediction of drug-induced cardiac toxicity
Collaborated with David Gavaghan, Blanca Rodriguez, and Denis Noble
Background
Professor of Mathematical Physiology at the Centre for Mathematical Medicine & Biology (CMMB), School of Mathematical Sciences, University of Nottingham
Director of Research for the School of Mathematical Sciences
Knowledge Exchange Champion for the UK Knowledge Exchange Hub for Mathematical Sciences
Research focuses on mathematical biology, constructing mathematical and computational models to describe and predict biological processes
Particularly interested in model equation selection, parameterization, experimental design optimization, and development of reliable software tools