Dr. Lovedeep Singh Dhingra is an Associate Research Scientist in the Section of Cardiovascular Medicine at Yale School of Medicine and a member of the Cardiovascular Data Science (CarDS) Lab. He also holds a Master of Health Science (MHS) in Clinical Informatics and Data Science from the Yale School of Medicine.

Dr. Dhingra trained in medicine at the All India Institute of Medical Sciences (AIIMS), New Delhi, India's premier medical school. During his training, he applied computer vision to detect pediatric shock at TavLab, served as Academic Secretary of the Asian Medical Students Association (India), and founded TEDxAIIMS — the first TEDx event held at a medical school in India. He subsequently practiced as a Medical Officer before joining Yale.

His research focuses on developing, validating, and deploying AI tools that extract diagnostic and predictive information from low-cost, widely available clinical modalities, including ECG images and portable, wearable ECGs. His work on identifying structural heart diseases from ECG images, including screenshots and smartphone photographs, was awarded the 2025 William W. Parmley Young Author Achievement Award from JACC and is being evaluated for clinical deployment within the Yale New Haven Health System. He has also led work on heart failure risk prediction from ECG images and wearable-adapted single-lead ECGs, and on AI-based identification of hypertrophic cardiomyopathy.

Beyond ECG diagnostics, Dr. Dhingra investigates national patterns of digital health adoption and cardiovascular health disparities, contributes to LEGEND-T2DM (a multinational effort to assess real-world cardiovascular effectiveness and safety of diabetes therapies), and is developing DIRECT-DM, a multi-site digital registry for type 2 diabetes within the Yale New Haven Health System. His work also spans natural language processing, including automated extraction of clinical information from echocardiography reports, discharge summaries, and catheterization records.

His research has been published in the European Heart Journal, JACC, Circulation, JAMA Cardiology, Nature Cardiovascular Research, and npj Digital Medicine, among others, and has been covered by Forbes, the Associated Press, Bloomberg, The Verge, and others. He has received multiple national and international awards for this work, including the Parmley Prize and a Finalist designation for the Elizabeth Barrett-Connor Research Award in Epidemiology and Prevention for Investigators in Training.

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