Minh Le, MD, PhD, is a physician-scientist specializing in the intersection of cardiovascular medicine and clinically deployable artificial intelligence. Currently a Postdoctoral Associate at the Yale School of Medicine, he works within the Cardiovascular Data Science (CarDS) Lab under the mentorship of Dr. Rohan Khera. His research leverages large language models (LLMs), computer vision, and deep learning to develop scalable AI solutions for multimodal imaging—including ECG, ultrasound, CT, and MRI.Minh’s academic foundation includes an MD from the University of Medicine and Pharmacy at Ho Chi Minh City (2018) and a PhD from Taipei Medical University (2026).

A Harvard Medical School alumnus, he also completed the Global Clinical Scholar Research Training (GCSRT) program in 2022.Before joining Yale, Minh spearheaded collaborative AI projects with premier 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 widely published in high-impact journals such as JAMA, EClinicalMedicine, and IEEE JBHI.