I use an integrative approach to cardiac electrophysiology research, combining clinical and experimental data, modelling and simulation, to investigate cardiac arrhythmias and possible therapeutic targets.

Due to the multiscale nature of cardiac electrophysiology, computational models represent the perfect framework to augment and fully analyse experimental and clinical findings. They allow for the integration of existing and new knowledge, enabling investigations of cellular processes and cardiac arrhythmias with high spatio-temporal resolution. Such an approach involves a deep understanding of multiple data sources, from cellular ionic mechanisms and signaling pathways to electrical conduction at the tissue and whole organ levels. In order to further advance our current understanding of heart function, our methodology is based on a synergistic clinical, experimental and computational approach, aiming to develop novel hypotheses, therapeutic targets, and technologies to improve risk identification under different disease conditions. Translation of results from basic science to clinical and industrial applications is central to my work via collaboration with clinicians and industrial partners.