Caroline Roney

Dr Caroline Roney is a UKRI Future Leaders Fellow and Lecturer in Computational Medicine at Queen Mary University of London's School of Engineering and Materials Science. Her research focuses on developing engineering methodologies to personalize treatment for cardiac arrhythmias, combining signal processing, machine learning, and computational modeling to predict optimal patient-specific therapies. She holds a MMath from the University of Oxford, MRes and PhD from Imperial College London, and has held fellowships at Liryc Institute and King's College London. Her work integrates clinical imaging and electrophysiological data to advance atrial fibrillation treatment strategies.

• Education:
  • MMath in Mathematics, University of Oxford
  • MRes in Biomedical Research, Imperial College London
  • PhD in Cardiac Signal Processing, Imperial College London
• Research Interests: Development of patient-specific digital twins for atrial fibrillation, computational modeling of fibrosis, and integration of machine learning with clinical data.
• Awards: UKRI Future Leaders Fellowship, Fondation Lefoulon Delalande Fellowship (2015–2017), MRC Research Fellowship (2017–2021).
• Affiliations: Digital Environment Research Institute (DERI), Visiting Lecturer at King's College London.

Her research group has secured £9.3M in grants, including EPSRC and MRC funding, to advance virtual atrial modeling and AI-driven healthcare tools. Key collaborations include industry partners like Acutus Medical and RHYTHM AI, focusing on clinical translation of computational models.