Dr. Adam May joined the Department of Medicine in the Division of Cardiology as an Assistant Professor on July 1, 2019.
As an Illinois native, Dr. May grew up in close proximity to St. Louis in Champaign-Urbana. He completed his undergraduate studies at the University of Illinois in Urbana-Champaign, IL and medical education at Loyola University Stritch School of Medicine in Chicago, IL. Thereafter, he went on to complete his internal medicine, cardiology and critical care training at the Mayo Clinic in Rochester, MN.
Dr. May’s clinical expertise may be best summarized as a “critical care cardiologist” well-equipped to manage critically-ill patients having high-acuity and/or advanced cardiac diseases. He possesses board certifications for internal medicine, cardiovascular diseases, critical care medicine and echocardiography. At Washington University, his principle clinical responsibilities include the supervision of the Cardiac Intensive Care Unit at Barnes-Jewish hospital and consultative intensivist support as a member of BJC Healthcare’s the tele-ICU (eICU) program.
Dr. May is committed to the clinical development and mentorship of medical students, medical residents and cardiovascular disease fellows. He is also dedicated to ensuring the clinical growth of non-physician clinical staff comprising the Cardiac Intensive Care Unit. His medical education priorities include development of critical care training pathway for Washington University Cardiology Fellowship Program as well as ensuring cardiovascular disease fellows achieve clinical competency in both echocardiography and electrocardiography.
Dr. May’s principle research interests concern the discovery, development and refinement of innovative processes to enhance the diagnostic capabilities of automated electrocardiogram interpretation. Specifically, his work has led to the development of automated methods designed to accurately differentiate wide complex tachycardias: The WCT Formula and VT Prediction Model. His forthcoming research works will leverage the diagnostic capabilities of artificial intelligence (AI) technologies to better facilitate the accurate discernment of patients’ underlying heart rhythm.