About me

I am a Senior Lecturer in applied mathematics at School of Mathematics and Statistics, University of Glasgow. I obtained my bachelor and master degrees in applied mechanics from Fudan University, and then pursued my PhD in computational biomechanics at Brunel University. After finishing my PhD, I spent one year in University of Strathclyde on cardiac magnetic resonance imaging process, and then moved to University of Glasgow as a research fellow working on image-based cardiac function modelling, first on mitral valve, now focusing on ventricle. I am a key member of the SofTMech centre (http://www.softmech.org) funded by UK EPSRC at University of Glasgow, and one of the founder of GlasgowHeart consortium.

My primary research interest lies in developing mathematical models for studying biological systems with a focus on clinical image-derived models of the cardiovascular system through my close collaboration with imagers, clinicians and statisticians. I have been developing image-derived biomechanical models for arteries, heart, mitral valve, electrophysiology for about 2 decades, in particular, clinical imaging-based patient-specific multi-scale/-physics cardiac modelling. Recent research extends to the application of advanced statistical methods (Gaussian-process, Bayesian inference) to accelerate clinical translation of patient-specific models. My goal is to develop cardiac virtual twins for healthcare by combing high-fidelity physical models with advanced machine learning approaches towards making translational and exciting discoveries applicable to clinical practice.