St Cross College
Professor Blanca Rodriguez
Professor of Computational Medicine, Department of Computer Science, St Cross College
About
Professor Blanca Rodriguez is a leading scientist & innovator in Computational Medicine at the University of Oxford. She actively collaborates with industry through research and innovation projects and consultancy. She aims to accelerate medical therapy development through human modelling and simulation augmented by big data, machine learning and non-animal experimental methods. She has raised over £40 million as principal or co-investigator and leads the Computational Cardiovascular Science team.
Professor Rodriguez has a deep commitment to training on technical aspects of modelling and simulation including verification, validation and uncertainty quantification, but importantly also skills for effective interdisciplinary and intersectoral collaborations and communication. She regularly gives speeches in conferences, industry and public events.
Originally, Professor Rodriguez is from Valencia, Spain, where she went to school at the Lycee Francais de Valencia, and trained in Engineering at the Universidad Politecnica de Valencia (MSc and PhD). She lived in New Orleans, USA for two years working as a postdoc at Tulane University. She then joined the University of Oxford, holding competitive personal research fellowships and leading her team since 2007. She has held the Professorship in Computational Medicine since 2014.
Professor Rodriguez has a deep commitment to training on technical aspects of modelling and simulation including verification, validation and uncertainty quantification, but importantly also skills for effective interdisciplinary and intersectoral collaborations and communication. She regularly gives speeches in conferences, industry and public events.
Originally, Professor Rodriguez is from Valencia, Spain, where she went to school at the Lycee Francais de Valencia, and trained in Engineering at the Universidad Politecnica de Valencia (MSc and PhD). She lived in New Orleans, USA for two years working as a postdoc at Tulane University. She then joined the University of Oxford, holding competitive personal research fellowships and leading her team since 2007. She has held the Professorship in Computational Medicine since 2014.
Expertise
- Computational Medicine
- Cardiology
- Toxicology
- Modelling and simulation
- Machine learning
Selected publications
- Toward cardiac electrophysiology digital twins with an efficient open source scalable solver on GPU clusters (2026).
- Sex-specific cardiometabolic multimorbidity, metabolic syndrome and left ventricular function in heart failure with preserved ejection fraction in the UK Biobank (2025).
- Cardiac conduction system regeneration prevents arrhythmias after myocardial infarction (2025).
- Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations (2024).
- In silico evaluation of cell therapy in acute versus chronic infarction: role of automaticity, heterogeneity and Purkinje in human (2024).
- In Silico TRials guide optimal stratification of ATrIal FIbrillation patients to Catheter Ablation and pharmacological medicaTION: the i-STRATIFICATION study (2024).
- Human iPSC-CMs and in-silico technologies define mechanisms and accelerate targeted pharmacogenetics in hypertrophic cardiomyopathyy (2022).
- The ‘Digital Twin’ to enable the vision of precision cardiology (2020).
- Human in silico drug trials demonstrate higher accuracy than animal models in predicting clinical pro-arrhythmic cardiotoxicity (2017).
Recent media work
- When one-size-fits-all medicine hurts women (with Blanca Rodriguez)(The Digital Twin Theory, 2026).
- Virtual you: Fighting the next pandemic with digital twins (Science Museum, 2023).
- Bridging across methods and models in the biosciences (EU Academy, 2023).
- How tech could spell the end of animals in drugs testing (The Guardian, 2014)
Languages
English, Spanish, French