Martin Bishop

Martin Bishop is a Reader in Computational Cardiac Electrophysiology at King's College London, specializing in Digital Twins for Healthcare. With a PhD and MPhys from the University of Oxford, his work intersects cardiac modeling, machine learning, and clinical translation to advance cardiovascular research.

His research focuses on

• Computational electrophysiology of cardiac arrhythmias
• Digital twin populations for personalized medicine
• Machine learning-driven cardiac risk stratification
• Device optimization for arrhythmia therapy

Recent publications highlight trends in MRI-based cardiac modeling, AI-enhanced electrophysiological simulations, and multi-scale cardiovascular risk prediction. His work aligns with UN SDG 3 (Good Health and Well-being) through innovative healthcare technologies.

Current projects include

• Patient-specific ICD optimization funded by NumeriCor GmbH
• Sudden cardiac death prediction via BHF grants
• EPRSC-funded digital twin development for ablation guidance