Rate My Professor Martin Bishop

Dr. Martin Bishop is a Reader in Computational Cardiac Electrophysiology in the School of Biomedical Engineering & Imaging Sciences at King’s College London, heading research efforts in the Digital Twins for Healthcare group. His academic journey began at the University of Oxford, where he earned a Master of Physics in 2003 and a Doctor of Philosophy in Optical Mapping Signal Synthesis in 2008, focusing on computational cardiac modelling through simulating fluorescent signals from optical mapping recordings. After his PhD, Bishop pursued postdoctoral research developing fine-scaled computational models from high-resolution MRI data. He was awarded a four-year Sir Henry Wellcome Postdoctoral Fellowship to investigate anatomical heterogeneity’s role in arrhythmia initiation and maintenance. Subsequently, he joined King’s College London in the Department of Biomedical Engineering, progressing to his current senior academic role.

Bishop’s research centers on computational cardiac electrophysiology, particularly arrhythmia mechanisms in structural heart diseases such as ischaemic cardiomyopathy. Key interests include ischaemia modulation, cardiac digital twins, ventricular tachycardia localisation, sudden cardiac death prediction, anatomical-electrical coupling, and tissue heterogeneity. He employs patient-specific models derived from clinical MRI and electrophysiology data, integrating machine learning for applications in risk stratification, implanted device optimisation, and catheter ablation guidance. As Principal Investigator, he leads multiple British Heart Foundation-funded projects, including “Localisation of Ventricular Tachycardia by Advanced Computational Algorithms” (2026–2031), “Predicting Sudden Cardiac Death by Computational Structure-Function Metrics” (2023–2027), and studies on arrhythmia mechanisms in inherited long QT syndrome (2025–2027). His publication record includes over 130 peer-reviewed articles, with recent contributions such as “Anatomical-electrical coupling of cardiac axes: Definitions and population variability for advancing personalised ECG interpretation” (PLoS Computational Biology, 2025), “Cardiac digital twins at scale from MRI: Open tools and representative models from ~55000 UK Biobank participants” (PLoS One, 2025), “Ischemia modulation via coronary revascularization and effects on the arrhythmic substrate” (Heart Rhythm, 2026), and “Computed Tomography-Based Left Ventricular Tissue Heterogeneity in Ischaemic Cardiomyopathy: Investigation of Adipose Tissue and Fibrosis” (Computing in Cardiology, 2025). Bishop collaborates with clinical teams and industry partners to translate models into clinical practice.