Michael Choma, MD, PhD

Dr. Choma is a physician-engineer with expertise in digital health, AI/computer vision, medical imaging, medical physiology, and biomedical optics. He is an Adjunct Associate Professor at Yale, where he teaches Data and Clinical Decision-Making (ENAS 523). His writings on the ongoing evolution of medicine in the era of data and computation can be found on Substack. He occasionally posts on LinkedIn and Threads.

Dr. Choma also was the VP Clinical at LookDeep Health, a Bay-Area startup that develops AI/computer vision technologies for inpatient telemedicine and patient monitoring. He leads their clinical science efforts, with an emphasis on leveraging several academic-industrial partnerships that focus on high-value clinical use-cases (e.g. preventing avoidable harm).

Previously, Dr. Choma was full-time faculty at Yale as an Associate Professor. He ran an NIH-funded biophotonics laboratory that developed optical coherence tomography (OCT) technologies to study pulmonary and cardiovascular physiology. In addition, he was an attending physician in the Yale-New Haven Primary Care Clinic. His prior experience also includes working on the brain-computer interface project at Meta (previously Facebook).

Dr. Choma received his MD and PhD degrees from Duke University. He trained in general pediatrics at Boston Children’s Hospital, and his postdoc was at the Wellman Center for Photomedicine at Massachusetts General Hospital / Harvard Medical School.