Senior Research Associate at Oxford University advancing Cardiac Digital Twin technologies to transform personalised medicine and accelerate therapy development for cardiovascular diseases.
"My long-term vision is to develop Cardiac Digital Twins technology using a combination of modelling and simulation with machine learning techniques to improve clinical understanding of cardiac diseases and to assist in providing tailored therapies for each patient."
Developing open-source frameworks that harness 12-lead ECG and MRI data to create personalized cardiac digital twins for enhanced virtual drug testing and therapy evaluation.
Advancing multi-scale cardiac electromechanical modelling to understand disease mechanisms and predict therapeutic outcomes in conditions like myocardial infarction and heart failure.
Develop in-silico clinical trials that can accelerate therapy development while reducing the need for animal testing and enabling precision medicine approaches.
Integrating machine learning with mechanistic modelling to create intelligent systems for disease stratification, risk prediction, and treatment optimization.
Recognized for groundbreaking work on Post Infarction Myocyte Electromechanics
University of Oxford Department of Computer Science - for management of crucial external collaboration with Barcelona Supercomputing Centre
Computing in Cardiology Conference and International Journal for Numerical Methods in Biomedical Engineering
Society for Cardiovascular Magnetic Resonance, USA
University of Auckland - First Class Honours (GPA 8.2/9) and Best Honours Project Award
Successfully supervising PhD and postdoc researchers, with mentees winning prestigious awards including STEM for BRITAIN 2024 finalist and Gordon Research Conference Poster Award 2025.
Committed to developing open-source digital twinning frameworks that democratize access to cutting-edge cardiac modeling tools for the global research community.
Positioned to lead the next generation of precision medicine through cardiac digital twins, with ongoing work on sex-specific models, maternal health applications, and AI-integrated therapeutic prediction.
Department of Computer Science
University of Oxford
Wolfson Building, Parks Road
Oxford, OX1 3QD, UK
I'm always interested in collaborating on groundbreaking research in cardiac digital twins, precision medicine, and computational cardiology.
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