Biography

Ann Marie Navar, M.D., Ph.D., is an Associate Professor in the Departments of Internal Medicine and Population and Data Sciences at UT Southwestern Medical Center. A board-certified cardiologist, she joined the UT Southwestern faculty in 2020 and specializes in preventive cardiology.

Dr. Navar earned her medical degree at Duke University and her Ph.D. in global disease epidemiology and control at the Johns Hopkins Bloomberg School of Public Health. Also at Duke, she completed a residency in internal medicine and pediatrics and a fellowship in cardiology, as well as a research fellowship at the Duke Clinical Research Institute.

The author of numerous scholarly articles and a frequent invited speaker, Dr. Navar’s research interests include cardiovascular disease prevention and epidemiology, mining real-world data including information available in electronic health records, and risk prediction and communication. She serves as an associate editor of JAMA Cardiology and is a board member of the American Society for Preventive Cardiology.

Education & Training
  • Graduate School - Johns Hopkins Bloomberg School of Public Health (2003-2005)
  • Medical School - Duke University School of Medicine (2005-2009)
  • Graduate School - Johns Hopkins Bloomberg School of Public Health (2003-2009)
  • Residency - Duke University School of Medicine (2009-2013), Internal Medicine & Pediatrics
  • Fellowship - Duke University School of Medicine (2013-2016), Cardiology
Professional Associations & Affiliations
  • American College of Cardiology
  • American Heart Association (Fellow)
  • American Society for Preventive Cardiology (Fellow)
Honors & Awards
  • Next Gen Innovator 2017, Cardiology Today
  • Jeremiah Stamler Award for Faculty Clinical Research 2016, Northwestern Cardiovascular Young Investigators’ Forum
Research
  • Cardiovascular Disease Prevention and Epidemiology
  • Dyslipidemia
  • Risk Prediction
  • Electronic Health Record-Based Research
  • Health Tech and Innovation
  • Patient Access to Therapies
  • Quality Improvement and Implementation Science
  • Real World Data and Data Science

Clinical Focus

  • General Cardiology
  • Preventive Cardiology
  • Dyslipidemia
  • Hypertension

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