معرفی
Hector Martinez-Navarro is a Research Associate at the Department of Computer Science, University of Oxford. His work focuses on computational biology and health informatics, with a strong emphasis on cardiac modeling and arrhythmia research. He contributes to the CompBioMed project, which explores computational methods for biomedical applications. His research integrates multiscale modeling techniques to evaluate therapeutic strategies like stem cell therapy and drug interventions, particularly in ischemic heart disease contexts.
Key research interests include:
- Electrophysiological modeling of cardiac arrhythmias
- In silico clinical trials for atrial fibrillation and myocardial infarction
- Sex-specific cardiac modeling
- Impact of mechanical and electrical heterogeneity on cardiac function
Recent work highlights the development of advanced computational models like T-World for ventricular myocyte dynamics and the application of machine learning in ECG analysis. His publications emphasize translational research, aiming to bridge computational simulations with clinical outcomes.
Notably, he participated in the 2023 Gordon Research Conference on Cardiac Arrhythmia Mechanisms, contributing insights from early career researchers. His lab’s address is Wolfson Building, Parks Road, Oxford OX1 3QD.
