ASCI / Emerging-Generation Awards, 2024

The Emerging Generation Awards (E-Gen Awards) recognize post-MD, pre-faculty appointment physician-scientists who are meaningfully engaged in immersive research.

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Evangelos Oikonomou, MD, DPhil
Yale School of Medicine
(Affiliation at the time of recognition)

About the awardee

Evangelos Oikonomou, MD, DPhil is a post-doctoral research fellow in the Section of Cardiovascular Medicine at the Yale School of Medicine. Dr Oikonomou’s work focuses on the intersection of statistical machine learning, computer vision and clinical trials, 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 PhD (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 Evangelos joined the Physician-Scientist Training Program at the Yale School of Medicine, where he has since completed his internal medicine residency and a clinical fellowship in cardiology.

He is a recipient of a prestigious F32 NRSA fellowship award from the National Institutes of Health, and his work has already been recognized through numerous Young Investigator Awards sponsored by the American Heart Association, Northwestern Cardiovascular Young Investigator Forum, the European Society of Cardiology and European Association of Preventive Cardiology. He has led a broad portfolio in health innovation science. First, he has defined and translated a key interplay between the perivascular adipose tissue and vascular inflammation in humans into a clinically actionable algorithmic tool that can refine cardiovascular risk on routine cardiac CT scans. Second, he has developed and validated a deep learning algorithm for the efficient diagnosis of aortic stenosis specifically adapted for point-of-care echocardiography. Finally, he has led an extensive body of work on defining treatment effect heterogeneity across clinical trials, with direct implications for evidence translation and the design of new adaptive trials with data-driven predictive enrichment. He has co-authored more than 55 peer-reviewed manuscripts in leading medical journals.