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 the Antoniades lab in Oxford (Division of Cardiovascular Medicine, Radcliffe Department of Medicine), Evan investigated the biological interplay between the perivascular adipose tissue and human vasculature. During the course of his project entitled "Non-invasive phenotyping of perivascular adipose tissue for cardiovascular disease diagnosis and risk stratification", he developed machine learning-based non-invasive imaging approaches to better characterize the role of perivascular inflammation in atherosclerosis. The results of this project have been published in major journals, including Lancet, European Heart Journal and JACC, and have provided new ways to interpret coronary CT angiograms. 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 machine learning approaches using multi-parametric data (imaging, EHR and clinical trial data) to personalize the diagnosis and treatment of cardiovascular disease.