Lovedeep Singh Dhingra, MBBS

Dr. Lovedeep Singh Dhingra is a Postdoctoral Associate at the Cardiovascular Data Science (CarDS) Lab and a Master of Health Science (MHS) candidate in the Data Science and Clinical Informatics track at the Yale School of Public Health.

Dr. Dhingra trained in Medicine at the All India Institute of Medical Sciences (AIIMS), New Delhi. During his MBBS, he served as a clinical consultant in TavLab, where he applied computer vision to detect pediatric shock. He also held leadership roles as the Academic Secretary (2017–2018) of the Asian Medical Students Association (AMSA, India) and the Chief Curator of TEDxAIIMS (2016) – the first event of its kind at a medical school in India. After completing his training, he practiced as a Medical Officer in a multi-specialty hospital in North India before joining the Yale/YNHH Center for Outcomes Research and Evaluation (CORE) as a Research Affiliate.

Dr. Dhingra’s research focuses on the application of machine learning, computer vision, and natural language processing for advanced cardiovascular diagnostics, electronic health record (EHR)-based investigations, and broader public health applications. His work has been published in leading academic journals including the European Heart Journal (EHJ), Journal of the American College of Cardiology (JACC), Circulation, Nature Cardiovascular Research, and JAMA Network Open. His current work involves using artificial intelligence for detecting structural heart disorders from electrocardiogram (ECG) images and applying these tools to multinational, real-world settings that aim to enhance cardiovascular care.

He is also developing a multi-site digital registry for type 2 diabetes (DIRECT-DM) in the Yale New Haven Health System and contributes to the LEGEND-T2DM initiative, a multinational effort to assess real-world cardiovascular effectiveness and safety of diabetes therapies.

In his free time, Lovedeep enjoys reading, playing board games, and stargazing.