This is what we do
Our lab conducts research in computational cardiology, developing and translating to the clinic personalized computational digital-twin technologies and machine learning approaches for the prognosis and treatment of cardiovascular disease. Our models of patients’ hearts realistically represent the functioning of the diseased organ. They are used, in combination with machine learning, for the discovery of mechanistic relationships and features that are indicative of the trajectory of the patient’s heart condition. Our work focuses on the prediction of risk of adverse cardiovascular events so that patient lives can be better protected. We also design treatment interventions that are optimal for the patient’s unique heart condition, maximizing procedure success and minimizing the potential for disease recurrence and re-hospitalization.
We are part of the Department of Biomedical Engineering and the Alliance for Cardiovascular Diagnostic and Treatment Innovation (ADVANCE).