Rohan Khera, MD, MS

Rohan Khera

Rohan Khera, MD, MS
Assistant Professor of Medicine, Biostatistics, and Biomedical Informatics and Data Science
Yale University

Dr. Rohan Khera is a Cardiologist-Data Scientist at Yale University, where he leads the Cardiovascular Data Science (CarDS) Lab. He is also the Clinical Director of the Center for Health Informatics and Analytics at the Yale Center for Outcomes Research and Evaluation.

Dr. Khera’s group is developing and implementing strategies to improve outcomes for patients with or at risk for cardiovascular disease through data-driven innovations in delivering evidence-based, patient-centered care. Dr. Khera’s work develops novel applications in medical informatics, machine learning, and artificial intelligence to evaluate patient care and develop precision care solutions. His work spans broad digital data sources, including the electronic health record, electrocardiography, cardiovascular imaging, and wearable devices, with applications to modernize US and global healthcare. His work develops and applies to healthcare. The work in his Lab is supported by grants from the National Institutes of Health and the Doris Duke Charitable Foundation.

Dr. Khera graduated from the All-India Institute of Medical Sciences as a National Young Investigator Scholarship awardee. During his internal medicine residency training at the University of Iowa and his cardiology fellowship training at UT Southwestern Medical Center, Dr. Khera received the American College of Cardiology’s Young Investigator Award and the Francois Abboud Young Investigator Award, in addition to being inducted into the Alpha Omega Alpha Medical Honor Society. For his work at Yale, Dr. Khera received the 2023 ASCI Young Physician-Scientist Award, the 2023 Blavatnik Award, and the 2021 Jeremiah Stamler Award.

As an OHDSI member, Dr. Khera pursued investigations in LEGEND-HTN, and is now co-leading LEGEND-T2DM with Dr. Marc Suchard, focusing on federated pharmacoepidemiology of cardioprotective anti-hyperglycemic agents and their comparative effectiveness.