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Lovedeep Singh Dhingra is a Postdoctoral Associate at the Cardiovascular Data Science Lab (CarDS) at Yale School of Medicine, focusing on the intersection of machine learning and cardiovascular diagnostics. He holds a Master of Health Science (MHS) in Clinical Informatics and Data Science from Yale and completed his Bachelor of Medicine, Bachelor of Surgery (MBBS) at the All India Institute of Medical Sciences (AIIMS) in New Delhi. His research involves the application of artificial intelligence in detecting structural heart disorders using electrocardiogram (ECG) images. He has developed a multi-site digital registry for type 2 diabetes as part of the LEGEND-T2DM initiative to assess the real-world effectiveness and safety of diabetes therapies. Dhingra has published in leading journals, including the European Heart Journal and JAMA Cardiology, showcasing his contributions to advanced cardiovascular diagnostics and broader public health applications. Beyond research, he has held leadership roles in organizations such as the Asian Medical Students Association and has contributed to events like TEDxAIIMS. In his free time, he enjoys reading, board games, and stargazing.
GRE is optional for PhD applicants. TOEFL speaking scores below 26 or IELTS speaking below 7.5 may require summer English training.