Research

Study how cardiac tissue deforms and responds to physiological conditions (e.g., exercise, pregnancy) and diseases (e.g., hypertension, myocardial infarction).

Analyze the flow of blood within the body. Fluid dynamics are essential in developing tissue-engineered vascular grafts, aneurysm formation, and congenital heart diseases.

Understand and predict long-term tissue adaptation in regeneration and disease progression to identify patients at risk and enable personalized therapies.

Fuse multi-modal imaging data (e.g., MRI, CT, ultrasound) with measurements (e.g., blood pressure, ECG) to generate 3D continuum models of patients’ hearts and blood vessels.

Physics-based (e.g., 1D/0D fluid dynamics) and data-driven (e.g., Neural Networks, POD) models allow fast repeated model evaluations (e.g., optimization, parameter estimation).

Accounts for variations in input parameters and boundary conditions to quantify the reliability of our findings by providing probability distributions of our predictions.