Computational Cardiovascular Science aims at the integration of computational methods in cardiovascular research to integrate and expand the information extracted from a range of experimental and clinical data including biosignals and medical images.
Our group is part of the BHF Centre of Research Excellence at Oxford, and includes scientists based at the Department of Computer Science and the Bioengineering Institute, with strong links with the Departments of Cardiovascular Medicine and Physiology, and established collaborations with clinical and experimental collaborators in academia, hospitals, pharmaceutical companies and regulatory agencies.
Translation from basic science to clinical and industrial applications is central to our research. We are also committed to training of postdocs and graduate students in an interdisciplinary, dynamic and flexible research environment to help them acquire the necessary skills for future jobs in academia, industry or government. Our research is currently supported by the Wellcome Trust, the BHF, the European Commission, EPSRC, and we have previously been awarded funding also from the Leverhulme Trust, the Royal Society, the MRC and the BBSRC.
The Computational Cardiovascular Science group is an interdisciplinary team of scientists aiming at translating their background in Engineering, Mathematics, Physics, and Biology to Cardiovascular Research. Each of our teammates has a different range of skill sets and we enjoy combining them to contribute to improving the understanding of the human hearts in health and disease, and to develop new mathematical and computational methodologies for Cardioascular Research. See the team
John Walmsley will be giving a talk on Friday the 24th of June entitled "Electromechanical substrate characterization in arrhythmogenic right ventricular cardiomyopathy: a combined imaging and simulation approach" at the Department of Computer Science, Lecture Theatre B, 2 p.m.
He is a former DPhil student of the group and he is now working at CARIM, the School for Cardiovascular Diseases, Masstricht, The Netherlands.
A flexible, robust and easy to use drug safety and efficacy prediction software, for users without specialist programming or mathematical modelling expertise.