Evangelos (Evan) Oikonomou is a clinical fellow in cardiovascular medicine and a member of the ABIM Physician-Scientist Research Pathway at Yale School of Medicine. He holds a medical degree from the University of Athens (Greece), and a Ph.D. (D.Phil.) in Medical Sciences from the University of Oxford (United Kingdom). As a Ph.D. student in Oxford (Division of Cardiovascular Medicine, Radcliffe Department of Medicine), Evangelos investigated the biological interplay between the perivascular adipose tissue and human vasculature. During the course of his project "Non-invasive phenotyping of perivascular adipose tissue for cardiovascular disease diagnosis and risk stratification", he developed and validated a machine learning radiomic approach to better characterize the role of perivascular inflammation in atherosclerosis. As a physician-scientist at Yale and a member of the Cardiovascular Data Science (CarDS) Lab (led by Dr Rohan Khera), Evangelos is interested in applying multi-modal machine learning approaches (using a mixture of unstructured and structured data types) to personalize the diagnosis and treatment of cardiovascular disease. His most recent work has focused on the use of phenomapping strategies to derive personalized effect estimates from randomized controlled trials, as well as on the deep learning phenotyping of echocardiograms for early disease diagnosis. His work has been published in several peer-reviewed journals, including the Lancet, Lancet Digital Health, European Heart Journal, JACC, Circulation, JAMA Cardiology, Diabetes Care.