Charles Taylor Email Address

Founder, Chief Scientific Officer

HeartFlow, Inc. is a personalized medical technology company seeking to transform the way cardiovascular disease is diagnosed and treated. The company's HeartFlow FFRct Analysis is the first available non-invasive solution that enables a physician to more

I co-founded Cardiovascular Simulation, Inc. in 2007 and HeartFlow, Inc. in 2010. I am currently the Chief Scientific Officer at HeartFlow. HeartFlow is creating the future of personalized medicine by providing physicians and patients with quantitative data generated by image-based computer models of blood flow for maintaining and restoring cardiovascular health. Prior to that I was an Associate Professor of Bioengineering and Surgery at Stanford University. I joined the faculty at Stanford in 1997. At Stanford, I focused on the development of computer modeling and imaging techniques for cardiovascular disease research, device design and surgery planning. My early research contributions included the first three-dimensional simulations of blood flow in the human abdominal aorta and the first simulations of blood flow in vascular models created from medical imaging data. I started the field of predictive, simulation-based medicine by describing the application of computational fluid dynamics to predict outcomes of cardiovascular interventions in individual patients. I received the “Young Investigator in Computational Mechanics Award” in 2002 from the International Association for Computational Mechanics and the “R.H. Gallagher Young Investigator in Computational Mechanics” from the United States Association for Computational Mechanics in 2003. In 2007 I was elected as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE). I have published over 450 peer-reviewed journal and conference papers in the field of cardiovascular bioengineering and medicine. I have more than 200 awarded U.S. and international patents. Specialties: Cardiovascular Bioengineering, Patient-specific modeling of blood flow and wall motion, magnetic resonance imaging techniques to measure blood flow during dynamic exercise conditions, tracking the motion of blood vessels over the cardiac cycle, and determining realistic loading conditions for modeling implanted devices.