Since completing my PhD in aeronautics at Imperial College London, I have been working on precision cardiovascular medicine, first at the University of Oxford, then at King’s College London. This defined my research interest in data-driven models for disease prediction. I am now Head of the Department of Digital Twins for Healthcare at King’s College, focussing on the development of Digital Twins for precision medicine by combining imaging, machine learning and modelling. My vision is not only to enhance technological synergies, but also to constructively engage all stake-holders – from engineers, to clinicians, to policy makers, to patients – to enable the full potential of the Digital Twin paradigm and its deployment.

My specific research interests span blood coagulation modelling in thrombus formation, remodelling prediction in pediatric congenital heart diseases and aortic coarctation, modelling of cardiac valves implantation and machine learning based assessment of pulmonary hypertension. I also have a strong interest in responsible innovation, patient experience, and public engagement, for which I have started a UK-wide initiative to help students and early career researcher incorporate these elements in their work.