Rate My Professor Martin Bishop

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.