
Shuang Qian
Dr Shuang Qian received her undergraduate degree in Electronic and Electrical engineering at the University of Birmingham, UK, before completing a PhD degree at the same university. Her PhD project is about modelling the cardiac electrodynamics in a larval zebrafish heart incorporating detailed cellular arrangements and intercellular connectivity. Since joining CEMRG in 2020, her work focused on assessing and optimising electrotherapy to improve the function of implanted devices by constructing and validating computational models, based on clinical images and electrophysiological recorded data. Her current research interest also includes integrating advanced machine learning approaches with models for direct applications in current clinical practice and making digital twins from data sets in the Biobank that evolve through time.
Research themes
In the news
Papers
First author 3
In silico trials for sex-specific patient inclusion criteria in cardiac resynchronization therapy
npj Digital Medicine, 2026
Nature Cardiovascular Research, 2025
Cardiac digital twins of the adult population: linking electrophysiological functions to anatomy
EP Europace, 2023
Middle author 8
JACC Advances, 2026
AI & Society, 2026
SoftwareX, 2026
PLoS ONE, 2025
PLoS Computational Biology, 2025
Lecture notes in computer science, 2025
Cardiac Anatomical and Electrical Axes: Proposed Definitions and Interplay
Computing in cardiology, 2024
Investigating the Influence of Parameters on Electrogram Morphology Using Gaussian Process Emulators
Computing in cardiology, 2024