About me

I am a Professor 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, then 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 focusing 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, valve and electrophysiology, 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 translational and exciting discoveries applicable to clinical practice.