Evangelos Oikonomou MD, DPhil
Cardiovascular Medicine Fellow, Physician-Scientist Training Program, Yale University, New Haven, ConnecticutEvangelos 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 PhD (D.Phil.) in Medical Sciences from the University of Oxford, United Kingdom. As a PhD student in Oxford (Division of Cardiovascular Medicine, Radcliffe Department of Medicine), Evangelos investigated the biological interplay between the perivascular adipose tissue and the human vasculature. During the course of his project "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. As a physician-scientist at Yale and a member of the Cardiovascular Data Science (CarDS) Lab (led by Dr Rohan Khera), he is interested in applying machine learning approaches using multiple data types (imaging, EHR and clinical trial data) to personalize the diagnosis and treatment of cardiovascular disease.
Disclosures
Dr. Oikonomou is an academic co-founder and consultant of Evidence2Health, LLC, a machine learning health analytics company. He is named as a co-inventor in a U.S. Provisional Patent Application (“Methods For Neighborhood Phenomapping For Clinical Trials”, No. 63/177,117 filed April 20, 2021). He has also acted as a consultant for Caristo diagnostics Ltd (Oxford, United Kingdom) and is named as a co-inventor in patents relating to the radiomic phenotyping of pericoronary adipose tissue for cardiovascular diagnosis and risk stratification.