My academic journey has been driven by applying computational techniques to advance biomedical research. After earning my Bachelor's degree in Multimedia Engineering (University of Valencia) and a Master's in Parallel and Distributed Computing (Polytechnic University of Valencia), I further developed this line of work by investigating cardiovascular disease through computational modelling and simulation.

Supported by a fully funded scholarship, I completed my DPhil at the University of Oxford. In my thesis, I developed a biophysically detailed computational model of human cardiac electrophysiology, which I used to investigate the mechanisms underlying high arrhythmic risk in patients with coronary artery disease, its representation on the ECG, and the evaluation of potential treatments. After finishing my DPhil, I undertook a Master's in Physiology (University of Valencia) to gain a broader understanding of human physiology and to better identify the limitations of experimental models in cardiovascular research. Since then, my goal has been to identify opportunities where in silico methods can overcome ethical, economic and technological barriers in experimental and clinical studies.

After a postdoctoral contract in Oslo, where I specialised in heart failure, I returned to Oxford as a senior researcher, further developing my leadership in resource management, project coordination and multidisciplinary collaboration. I have played key roles in knowledge-transfer projects with major industry partners. With ZOLL Medical Corporation, I led a project using personalised human models to assess ECG sensitivity to myocardial ischaemia progression. I also led a collaboration with Sanofi-Aventis to develop an in silico trial pipeline using human cardiomyocyte models to analyse inotropic and cardiotoxic effects of over fifty compounds. In 2024, I joined a digital-twin project with Pfizer as a member of the Scientific Steering Committee, contributing to the quantification of arrhythmic risk and ECG signatures of compounds of interest.

I have collaborated with leading clinical, experimental and computational scientists, including Prof. Hugh Watkins, Prof. Paul Riley and Prof. Peter Coveney. A notable highlight was a collaboration with the Department of Regenerative Medicine (Oxford), where we translated mouse-model findings to human in silico simulations, providing new insights into the mechanisms of post-infarction conduction block.

My project-management experience includes participation in European and UK initiatives (CompBioMed, TransQST) and securing competitive funding, including doctoral and postdoctoral fellowships, co-participating in projects funded by the EPSRC (UK) and the Lockey Fund (MPLS Division, University of Oxford), and an EPSRC Impact Acceleration Award - Technology Fund supporting personnel and software development. I have managed computational resources at both local facilities and international supercomputing centres (SuperMUC, ARCHER2).

Teaching is also central to my academic trajectory. I have taught across multiple departments, developed teaching materials, contributed to innovation projects and supervised a doctoral thesis (Luana Riebel, 2025). I have served as a harassment advisor and as an undergraduate admissions interviewer at Pembroke College and Balliol College. In 2022, I was awarded a research fellowship at Kellogg College, where I tutored postgraduate students. My teaching was recognised by Oxford in 2024 with a special commendation for excellence.

In November 2025, I was appointed Beatriz Galindo Distinguished Researcher at the University of Valencia, joining the CoMMLab group led by Ignacio García Fernández. My current research focuses on arrhythmic risk stratification in coronary artery disease, with particular emphasis on sex-related variability. I also teach at the Escola Tècnica Superior d’Enginyeria, Universitat de València.