David Gavaghan

David Gavaghan is a Professor of Computational Biology at the University of Oxford's Department of Computer Science, within the Mathematical, Physical and Life Sciences Division. He leads the Computational Biology Group and has held roles including Director of Graduate Studies in the Mathematical, Physical and Life Sciences Division and Chair of the Department's Equality and Diversity Committee. His research focuses on computational modeling of biomedical systems, particularly cardiac electrophysiology, tumor development, and electrochemical techniques. He has supervised over 30 PhD students and established the Life Science Interface Doctoral Training Programme, funded by £60 million in grants. Notable projects include the Chaste computational library and collaborations with industry partners like Microsoft Research and GSK.

Research interests include interdisciplinary applications of mathematical and computational methods to biomedicine, with a focus on cardiac modeling, systems biology, and high-performance computing. He chairs the Chaste Users' Mailing List and has contributed to initiatives like the 2020 Science programme for computational natural scientists. His work emphasizes practical solutions for scientific challenges and has led to innovations in computational infrastructure and collaborative research frameworks such as the Virtual Physiological Human Toolkit.

Professional activities include leadership in doctoral training, grants management, and gender equality initiatives. His contributions span academic and industrial collaborations, emphasizing the translation of computational models into real-world biomedical applications.