Dr. Matthew Tuck

Washington DC Veterans Affairs Medical Center

Contact Details

Washington DC Veterans Affairs Medical Center


Dr. Matthew Tuck completed his undergraduate and graduate medical education as well as chief residency at the George Washington University, where he was inducted to Alpha Omega Alpha Medical Honor Society. There, he also earned a Masters in Education and Human Development. He currently holds academic appointments as Associate Professor of Medicine at the George Washington University (GWU) and the Uniformed Services University of the Health Sciences. He serves as the Assistant Chief of the Hospitalist Section and Associate Site Program Director for the residency programs at the Veterans Affairs Medical Center.

Dr. Tuck has been the recipient of a number of teaching awards, including the Society for General Internal Medicine's (SGIM) Award for Excellence in Clinician Education, the James J. Leonard Award for Excellence in Teaching Internal Medicine as well as the Veterans Affairs (VA) Medical Center Attending of the Year Teaching Award. In 2014, he was charged with revamping the evidence-based medicine curriculum for the medical students at the GWU and was appointed the inaugural Evidence-based Medicine Theme Director. On the national stage, Dr. Tuck serves as core faculty for the annual “Teaching and Leading Evidence-based Medicine” workshop at Duke University.

Dr. Tuck is Chair of SGIM's Academic Hospitalist Task Force. He is a scientific reviewer for the Journal of Graduate Medical Education (JGME) and UpToDate and has served as a grant reviewer for the VA HSR&D Merit grants. In 2014, he was named top 10% of reviewers for JGME. Dr. Tuck's research interests include venous thromboembolism, pharmacogenomics, and medical education. He is the recipient of a number of research grants. Most recently, he serves as site Principal Investigator for a $7.5 million grant from the National Institute on Minority Health and Health Disparities to study how genetic information from African American patients can predict their responses to cardiovascular medications.