Minh Le, MD, PhD

Minh Le, MD, PhD, is a physician-scientist in cardiovascular medicine. He currently serves as a postdoctoral associate under the mentorship of Dr. Rohan Khera - Associate Professor in Cardiovascular Medicine and Health Informatics in the Department of Internal Medicine, Section of Cardiovascular Medicine, at Yale University School of Medicine. He graduated from the School of Medicine, University of Medicine and Pharmacy at Ho Chi Minh City (YDS), Vietnam and completed his PhD in Medicine in Taiwan. His research focuses on large language models, computer vision, machine learning, and deep learning, with applications in cardiology and multimodal imaging, including ECG, ultrasound, CT, MRI, and DSA. He is particularly interested in developing clinically deployable AI systems that improve diagnosis, risk stratification, and clinical decision support.

He is a Harvard Medical School alumnus and completed the Clinical Trials and Epidemiology Program (GCSRT). His capstone project focused on clinical trials in chronic hepatitis patients. During the program, he also worked on several cardiology projects, including STATA-based analyses of the Framingham cohort, genetics and bioinformatics studies, and training in grant and proposal writing.

Before joining Yale, Minh spearheaded collaborative AI projects with institutions including Harvard Medical School, Johns Hopkins, and Carnegie Mellon University. His work, which focuses on real-time imaging interpretation and cardiovascular phenotyping, has been published in JAMA, EClinicalMedicine, IEEE JBHI, IEEE-EMBS, ISBI, ICCV, MICCAI.

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