His interest in computational research began early, initially studying engineering before transitioning to medicine. During medical school, he explored the potential of wearable sensors in orthopedics and later took a dedicated research year to work with Prof. Rod Jackson, refining cardiovascular risk prediction equations using widely deployable EHR-based models. Working on the front lines of patient care reinforced his belief in the need for smarter, AI-driven clinical tools to enhance decision-making and improve patient outcomes.
At the CarDS Lab, his research focuses on leveraging machine learning to improve cardiovascular risk stratification and health outcome monitoring, with the goal of creating more personalized, effective interventions.
Outside the lab, you can find him on the basketball court, immersed in a new book, playing music with his partner, or enjoying time with his Tonkinese cat, Monkey!
