Dr Caroline Roney
MMath, MRes, PhD
Reader in Computational Medicine
UKRI Future Leaders Fellow
Engineering 333, Mile End
| Expertise: | My research interests are in developing engineering methodologies to personalise treatment approaches for cardiac arrhythmias. We use a combination of signal processing, image processing, machine learning and computational modelling techniques to develop novel techniques for investigating cardiac arrhythmia mechanisms from clinical imaging data and electrical recordings. The ultimate aim of our research is to translate these tools to predict optimal patient-specific treatment strategies in the clinic. We work closely with clinical, basic science and industrial collaborators. |
| Research Centre: | |
| Affiliations: |
DERI Fellow Visiting lecturer at School of Biomedical Engineering & Imaging Sciences, King's College London |
Brief Biography
Dr Caroline Roney is a Reader in Computational Medicine and a UKRI Future Leaders Fellow in the School of Engineering and Materials Science, Queen Mary University of London. She has a background in both mathematics and biomedical engineering, with an MMath in Mathematics from the University of Oxford, and an MRes in Biomedical Research from Imperial College London. She received her PhD degree in signal processing of cardiac arrhythmia data from the Department of Bioengineering and National Heart and Lung Institute, Imperial College London (2011-2015). She then worked in the computational modelling team at Liryc, University of Bordeaux, funded by a Fondation Lefoulon Delalande fellowship (2015-2017). Recently, she was an MRC research fellow at King's College London working in the Cardiac Electro-Mechanics Research Group (2017-2021).