Jordan B. Strom, M.D., M.Sc.

Dr. Jordan Strom is Assistant Professor of Medicine at Harvard Medical School and a non-invasive cardiologist, specializing in echocardiography and cardiovascular magnetic resonance imaging at Beth Israel Deaconess Medical Center. He received his B.S. in Biology from Yale University and an M.D. from Harvard Medical School, before subsequently training in Internal Medicine at the Massachusetts General Hospital and in Cardiovascular Medicine at Beth Israel Deaconess Medical Center where he was Chief Fellow for the 2017-2018 year. He received additional post-graduate training in Clinical Epidemiology and Biostatistics at the Harvard T.H. Chan School of Public Health, receiving an M.Sc. in Epidemiology in May 2018.

Dr. Strom was the inaugural fellow and is currently a faculty investigator at the Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology. His research involves evaluation of the relationship of cardiac structure and function to health outcomes, particularly for valvular heart disease. Additionally, his research evaluates the optimal use and timing of cardiac imaging in practice. He specializes in the analysis of large administrative, registry, and clinical trial data, in particular imaging registries. He has received grant funding for this work from the American Heart Association and the National Institutes of Health and his publications have been featured in such journals as Circulation, European Heart Journal, and the Annals of Internal Medicine. He serves as a guest editor and Editorial Board member for the Journal of the American Society of Echocardiography and is a member of the American College of Cardiology Imaging Council Leadership committee. He was a member of the inaugural class of the American Society of Echocardiography’s Leadership Academy and currently is Co-Chair of the ImageGuideEcho Research and Publications Committee and a member of the ImageGuideEcho registry committee. He is the ACC representative to the board of directors of the Joint Review Committee on Education in Diagnostic Medical Sonography (JRC-DMS) which oversees training in diagnostic medical sonography in the US, and chairs the ACC HeartHero Innovation Program working group.

His methodological expertise spans epidemiologic and biostatistical methods, including advanced statistical regression, longitudinal analysis, supervised and unsupervised machine learning techniques, survival analysis, decision analysis, and advanced prediction modeling. He is also interested in using translational techniques such as molecular phenotyping with metabolite and proteomic profiling to discriminate risk and benefit among cardiovascular disease patients. He has expertise in prediction of cardiac disease states, assessment of treatment effect heterogeneity, comparative effectiveness research, large database analysis, epidemiologic study design, and use of validated patient-reported outcome measures.