I am an advanced echocardiography fellow at the University of California, San Francisco, a fellow in the Clinician Investigator Program at the University of British Columbia, and a student in the Master of Information and Data Science program at the University of California, Berkeley. I am working on applications of machine learning and computer vision for cardiovascular disease phenotyping and prognostication, and my work is supported through the University of British Columbia Friedman Scholarship. I completed my internal medicine and cardiology training at the University of British Columbia and obtained my MD from McMaster University. I enjoy working on statistical analysis of large datasets within medicine, deep learning, computer vision, and development and validation of predictive AI models.