About us:
We specialise in developing models of personalised physiology to simulate different treatment approaches. An example application is developing engineering methodologies to personalise treatment approaches for cardiac arrhythmias. We use a combination of signal processing, machine learning and computational modelling techniques to develop novel methodologies for investigating cardiac arrhythmia mechanisms from clinical imaging data and electrical recordings. We aim to translate the tools we develop for analysing electrical and imaging data to clinically predict optimal patient specific treatment strategies. We are based at the Digital Environment Research Institute and the School of Engineering & Materials Science, Queen Mary University of London. We are also a part of the Centre for Advanced Cardiovascular Imaging.
What’s New:
Apr 2026: NCRG meeting
Caroline was delighted to present at the Northern Cardiovascular Research group meeting at the University of Hull.
Mar 2026: Conflict Wound DT
We organised a workshop to define a roadmap for digital twins in combat wound healing. Thanks to DSTL for funding!
Mar 2026: OpenCARP workshop
Albert, Caroline, Cynthia, Miao, Aidan and Carlos enjoyed learning about the latest features in OpenCARP software at LIRYC, Bordeaux!
Latest Software:
Constructing bilayer and volumetric atrial models at scale
Download atrialmtk, an open-source user-friendly pipeline for generating atrial models from imaging or electroanatomical mapping data enabling in silico clinical trials at scale, available at https://github.com/pcmlab/atrialmtk.
