Abhinav Sharma

Dr. Abhinav Sharma is a cardiologist, assistant professor and clinician-scientist in the Division of Cardiology at McGill University. His clinical and research expertise lies at the intersection of cardiology, digital health and epidemiology, with a focus on heart failure and diabetes.
He earned his medical degree and completed his internal medicine training at McMaster University before undertaking his cardiology fellowship at the University of Alberta. Dr. Sharma pursued a PhD in epidemiology, where his thesis focused on the intersection of type 2 diabetes mellitus and heart failure. His academic journey continued with a cardiovascular research fellowship at the Duke Clinical Research Institute (2015–2017) and an advanced heart failure and cardiac transplantation fellowship at Stanford University (2017–2018). He remained at Stanford as a Postgraduate Visiting Scholar (2018–2019), concentrating on digital health applications in cardiovascular disease management.
Currently, Dr. Sharma is a Junior 2 Fonds de Recherche Santé Québec chercheur-clinicien scholar and a World Heart Federation Emerging Leader. He is the founder and co-director of the DECIDE-CV Cardiometabolic Clinic at the McGill University Health Centre. His leadership extends to the Canadian Cardiovascular Society (CCS), where he has contributed to both the Heart Failure Guideline Committee and the Cardio-Renal Guideline Committee.
Dr. Sharma’s research is centered on two key areas: (1) optimizing cardiovascular outcomes and therapy in patients with diabetes and heart failure and (2) leveraging digital health technologies to improve patient care and clinical trial efficiency. At McGill University, his research lab, DREAM-CV, is pioneering the use of artificial intelligence to accelerate the identification of new therapies for patients with cardiometabolic diseases. His ongoing projects include validating electronic health records for clinical trial screening, identifying biomarkers to predict cardiovascular outcomes, and utilizing digital health platforms such as MyHeart Counts to enhance cardiovascular risk prediction.