Research

My current and past research combines truly interdisciplinary technologies integrating mechanistic modelling, network modelling, machine learning, and wet-lab experiments, and seeks to expand our frontiers in the following areas:

• Constructing biophysically and biochemically detailed digital twins of the human heart
• Optimizing treatment strategy for heart rhythm disorders via personalized simulations
• New applications of heart-like cells induced from patient-derived stem cells: Quantitative Systems Pharmacology Platform integrating iPSC-CM system, computational modeling, and machine learning for screening antiarrhythmic drugs
• Dissecting electro-mechanical coupling and feedback in the heart and its contribution to arrhythmia
• Heart-torso model for studying ventricular arrhythmias and electrocardiograms (ECGs) and their responses to stressors
• Sex differences in cardiac electrophysiology and arrhythmia
• Untangling subcellular signalling network in arrhythmia mechanisms
• Molecular and structural mechanisms of sinus node dysfunction