معرفی
David Kay is an Associate Professor in the Department of Computer Science at the University of Oxford, specializing in computational biology and numerical analysis. He holds a D.Phil. from Leicester University and has held academic positions at UMIST and Sussex before joining Oxford in 2007. His research focuses on developing numerical schemes for partial differential equations (PDEs), particularly in modeling cardiac and pulmonary systems.
Education: B.Sc. (First Class) in Mathematics (Leicester, 1992), D.Phil. in Numerical Analysis (Leicester, 1997). Postdoctoral roles at UMIST (1996–1998) and Oxford (1999). Became University Lecturer at Sussex (1999) before moving to Oxford as a University Lecturer in Computational Biology (2007).
Research Interests: Multiphysics interaction in heart/lungs, finite element methods for cardiac bidomain equations, multiscale lung models, stochastic ion channel dynamics, and numerical cell movement models. Applications include asthma pathophysiology, cardiac electrophysiology, and drug safety assessment.
Key Projects: Co-developed the Chaste open-source software library for biological simulations, focusing on cancer, heart, and soft tissue modeling. Active in the AirPROM Synergy project on COPD.
Grants & Funding: Supervised over 15 Ph.D. students and secured funding via EPSRC, BBSRC, and industry partnerships (e.g., Fujitsu, GE Healthcare). Current funding opportunities available for postgraduate researchers.
Labs/Teams: Leads computational biology research in Oxford’s Department of Computer Science, collaborating with clinical teams to bridge mathematical modeling and biomedical applications.
