Minh Le, MD, PhD

Minh Le, MD, PhD, is a physician-scientist in cardiovascular medicine. He currently serves as a Postdoctoral Associate at Yale School of Medicine. His research focuses on large language models, computer vision, machine learning, and deep learning, with applications in cardiology and multimodal imaging, including electrocardiography (ECG), echocardiography, computed tomography (CT), magnetic resonance imaging (MRI), and digital subtraction angiography (DSA). He is particularly interested in developing clinically deployable artificial intelligence systems that improve diagnosis, risk stratification, and clinical decision support.

Before joining Yale, Minh led collaborative artificial intelligence projects with researchers from Harvard Medical School, Johns Hopkins University, and Carnegie Mellon University. His research focuses on real-time imaging interpretation and cardiovascular phenotyping. His work has been published in JAMA, EClinicalMedicine, Briefings in Bioinformatics, and the IEEE Journal of Biomedical and Health Informatics (IEEE JBHI). He has also presented his research at major scientific meetings, including the American Heart Association (AHA) Scientific Sessions, the American College of Cardiology (ACC) Annual Scientific Session, IEEE EMBS, ISBI, ICCV, and MICCAI.

Outside of research, Minh enjoys photography, watching movies, and traveling.