معرفی
James Coleman is a Research Fellow at the University of Oxford's Department of Computer Science, affiliated with St Catherine's College. His work focuses on computational modeling of cardiac electrophysiology, particularly in hypertrophic cardiomyopathy and myocardial ischemia. He investigates mechanisms underlying arrhythmias, ECG biomarkers, and therapeutic interventions like ranolazine. His research integrates clinical data (e.g., ECG, MRI) with large-scale simulations to develop predictive tools.
Research interests include cardiac arrhythmias, ischemia modeling, ion channel dysfunction, and digital twin technologies for clinical translation. His recent studies explore T wave pseudonormalisation in stress ECGs and Purkinje network dynamics. Supervised by Alfonso Bueno-Orovio, his work bridges computational science and clinical cardiology.
No scientific awards are explicitly mentioned, though his publications indicate impactful contributions. His affiliation with the Department of Computer Science positions him at the intersection of computational methods and biomedical applications. Future work likely involves refining predictive models for arrhythmic risk and optimizing antiarrhythmic therapies.
