Assistant Professor of Medicine (Cardiovascular Medicine) and of Biostatistics (Health Informatics); Clinical Director, Center for Health Informatics and Analytics, YNHH/Yale CORE; Director, Cardiovascular Data Science (CarDS) Lab
Dr. Khera is a Cardiologist and Data Scientist and the Director of the Cardiovascular Data Science (CarDS) Lab, which is a multidisciplinary group focusing on data-driven discovery in cardiovascular disease. He is the Clinical Director of the Center for Health Informatics and Analytics at the Yale Center for Outcomes Research and Evaluation. He is also an Associate Editor for Artificial Intelligence and Digital Health at JAMA. The CarDS Lab, which Dr. Khera leads, 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 focuses on 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...
Philip graduated from the University of Maryland, Baltimore County as a Meyerhoff Scholar, earning degrees with distinction both in Biochemistry/Molecular Biology and Statistics. Following his studies, he served as a research assistant at Vanderbilt University's Department of Biomedical Informatics where he investigated the off-target effects of statins using BioVU. Prior to starting medical school, Philip competed as a professional swimmer for the country of Nigeria, where he was a national record holder and team captain. He competed in a host of international events such as the All African Games and World Championships. Philip is currently working in the Cardiovascular Data Science (CarDS) Lab under the guidance of Dr. Rohan Khera where he is applying machine learning techniques to assess and improve quality of care and patient outcomes.
Arya Aminorroaya is a physician-scientist and postdoctoral research associate in the Cardiovascular Data Science (CarDS) Lab, specializing in data-driven innovations in cardiology. He earned his MD-MPH from Tehran University of Medical Sciences in Iran, where he conducted clinical and epidemiological research at Tehran Heart Center and Non-Communicable Diseases Research Center, and collaborated with the Institute for Health Metrics and Evaluation at the University of Washington, focusing on cardiovascular disease prevention, risk stratification, and large-scale population health studies. Building on this foundation, his current research leverages artificial intelligence (AI) and medical informatics to develop and validate AI tools for advancing cardiovascular care, with an emphasis on real-world implementation and improving outcomes in low-resource settings. His...
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...
Evangelos (Evan) Oikonomou is a clinical fellow in cardiovascular medicine, a post-doctoral research fellow in the Cardiovascular Data Science (CarDS) lab, and a member of the ABIM Physician-Scientist Research Pathway at Yale. His work focuses on the intersection of applied computer vision and statistical machine learning, with a specific focus on developing tools for the improved phenotyping of cardiovascular disease using scalable approaches that can be deployed at minimal cost using existing care pathways. He graduated as valedictorian of his class from the University of Athens Medical School in Greece, before pursuing a Ph.D. (D.Phil.) degree at the University of Oxford, where he was recognized with the Radcliffe Department of Medicine Graduate Prize for his scientific work. In 2019 he joined the Physician-Scientist Training Program at the Yale School of Medicine, and he has...
Phyllis is a cardiology fellow in the ABIM Physician Scientist Training Program. She is completing her post-doctoral research fellowship under Dr. Rohan Khera through the T32 Implementation Science Fellowship. She graduated from Yale College with a B.S. in Physics and then completed her M.D./Ph.D. at Columbia University, where she developed machine learning methods to improve the phenotyping of stroke in the electronic health record and improve the power of genome-wide association studies in the UK Biobank. Most recently, she completed her internal medicine residency at Yale New Haven Health. Her interests include the development of methods to improve precision medicine in cardiology, harmonization of multi-modal and multi-site data, and characterizing the gray areas between clinical trial and real-world patient populations.