Ambre Bertrand
CDT Student
My DPhil aims to improve our understanding of cardiac abnormalities in type 2 diabetes, a major risk factor for cardiovascular disease, using a combination of statistical methods and multi-scale cardiac modelling and simulation applied to clinical data from the UK Biobank (primarily ECG and imaging). My supervisors are Prof. Blanca Rodriguez, Prof. Vicente Grau and Dr. Julia Camps.
I have an interdisciplinary engineering-based background; I completed my MEng in Engineering Science at the University of Oxford where I specialised in biomedical signal processing, image analysis and machine learning, with a Master's project in cancer radiomics. I’ve held research intern positions in medical data science and modelling including at the Oxford Institute of Biomedical Engineering; a medical device start up; and the University of California, San Diego jointly with Simula Research Laboratory, Norway.
When I am not behind my computer screen, I love spending time outdoors, swimming, cycling, running, reading, and cooking with/for my friends and family!
Recent publications
Cardiac remodelling in type 2 diabetes: Pathophysiological mechanisms and opportunities for multiscale computational modelling and simulation.
Journal article
Bertrand A. et al, (2026), The Journal of physiology
Sex-specific cardiometabolic multimorbidity, metabolic syndrome and left ventricular function in heart failure with preserved ejection fraction in the UK Biobank.
Journal article
Bertrand A. et al, (2025), Cardiovascular diabetology, 24
T-World: A highly general computational model of a human ventricular myocyte.
Preprint
Tomek J. et al, (2025)
Correction: Multi-modal characterisation of early-stage, subclinical cardiac deterioration in patients with type 2 diabetes.
Journal article
Bertrand A. et al, (2025), Cardiovascular diabetology, 24
A Multi-Scale Computational Framework for Human-Based Modelling and Simulation of Adverse Cardiac Remodelling in Type 2 Diabetes
Conference paper
Bertrand A. et al, (2025), Computing in Cardiology, 52