Kay Everett Email & Phone Number

Kay Everett, MD, PhD is a physician and engineer passionate about cardiovascular hemodynamics and implications in device therapies.Dr. Everett is currently an Attending Cardiologist and Assistant Professor of Medicine at Tufts Medical Center, where she cares for patients who are hospitalized with heart disease and works in the research laboratory to develop new technologies for their care. She is also a NIH funded researcher with 80% protected research time working at the intersection of medical engineering and cardiovascular medicine. Her academic background includes a PhD in Medical Engineering and Medical Physics from the Harvard-MIT Division of Health Sciences and Technology (HST), where she also subsequently earned her MD. Her clinical training included Internal Medicine Residency at Brigham and Women's Hospital where she short-tracked in the Physician Scientist Pathway into Cardiovascular Disease Fellowship at Beth Israel Deaconess Medical Center. Dr. Everett's research interests lie at the intersection of engineering and medicine. Her current research aims to understand the ventricular and vascular hemodynamics of mechanical circulatory support in acute myocardial infarction. This work leverages her background in medical engineering, device evaluation and cardiac physiology to define the interactions between devices and patients. Her work has been recognized by several Top Abstract awards and Research Merit scholarships at national and international conferences. Dr. Everett's research has been funded by the National Science Foundation (NSF), National Institute of Health (NIH), Harvard-MIT and Tufts Medical Center. Outside of the clinic and laboratory, Dr. Everett has a longstanding passion for mentorship, including the advancement of women in medicine, STEM and physician-scientists. She also enjoys teaching in her alum MD-PhD Department of HST as a Lecturer and Course Instructor at MIT in Cardiovascular Pathophysiology.

Listed skills include Biomedical Engineering, Biomaterials, Clinical Research, Data Analysis, and 20 others.