Charles Taylor, Ph.D.
Professor, Department of Internal Medicine
W.A. "Tex" Moncrief, Jr., Chair in Computational Medicine, Oden Institute for Computational Engineering & Sciences
Director, Center for Computational Medicine
Ph.D., Mechanical Engineering
Stanford University
About
Charles “Charley” Taylor, Ph.D., is one of the world’s foremost experts in the application of computational science to the practice of medicine. His research on the use of artificial intelligence and computational methods transformed the practice of cardiology and gave rise to the field of predictive, simulation-based medicine.
Taylor is the co-founder of HeartFlow, where he developed a noninvasive tool that uses imaging to simulate and assess blood flow through the coronary arteries — the first AI-enabled technology to be included in cardiology clinical practice guidelines. In 2023, NEJM AI recognized it as the most widely adopted AI technology in U.S. health care.
In 2024, his pioneering work in computational biomechanics earned him election to the National Academy of Engineering.
Taylor started his career at Stanford University, where he received his Ph.D. in mechanical engineering. He served as a founding faculty member of the Department of Bioengineering, with additional appointments in surgery, mechanical engineering and radiology.
Taylor holds bachelor’s and master’s degrees in mechanical engineering as well as a master’s degree in mathematics from Rensselaer Polytechnic Institute.
To date, Taylor’s research has resulted in 450 peer-reviewed journal and conference papers and has been funded by the National Science Foundation, National Institutes of Health, U.S. Food and Drug Administration, Defense Advanced Research Projects Agency and the American Heart Association. He holds 300-plus U.S. and international patents.
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Member
National Academy of Engineering, 2024 -
Davies Medal for Engineering Achievement
Rensselaer Polytechnic Institute, 2019 -
Fellow
American Institute for Medical & Biological Engineering, 2007 -
Gallagher Young Investigator Award
U.S. Association for Computational Mechanics, 2003