Professor Reza Razavi is the Professor of Paediatric cardiovascular Science at KCL and an Honorary Consultant Paediatric Cardiologist at GSTT. He was the Vice President (Research) at King's College London (March 2017- Jan 2023) and the Director of Research at King’s Health Partners (June 2015 - Sept 2020). He was also the Director of the King’s Wellcome Trust EPSRC Centre For Medical Engineering (until May 2021) and The London AI Centre for Value Based Healthcare (until March 2024).

Professor Razavi qualified in Medicine at St. Bartholomew’s Medical School in 1988. He later trained in Paediatrics and Paediatric Cardiology at Guys and started a career in research at KCL.

Prior to becoming Vice President (Research), Professor Razavi held the post of Head of Division of Imaging Sciences and Biomedical Engineering (Jan 2007 - March 2017) and Assistant Principal (Research & Innovation) (July 2015 - March 2017).

Research Focus

The main focus of Professor Reza Razavi’s research is imaging and biomedical engineering related to cardiovascular disease. One area of focus is cardiac MRI in relation to congenital heart disease, electrophysiology and heart failure, image guided intervention, XMR (X-ray and MRI) guided cardiac catheterisation and methodological advances to move to faster 3-Dimensional cardiac imaging.

His group was the first to perform MRI-guided cardiac catheterisation in patients and the first to carry out entirely MR-guided cardiovascular interventions. In congenital heart disease, he has developed techniques for three-dimensional imaging as well as physiological assessment using flow measurements. Using MR guided cardiac catheterisation his group has developed new techniques of measuring pulmonary vascular resistance and compliance.

In the area of cardiac arrhythmias, heart failure and devices, new biomarkers for therapy guidance and therapy assessment as well as multi-modal techniques for image guided intervention have been developed. More recent research areas include the use of biophysical computational models to better understand pathological mechanisms and help guide treatments and molecular imaging using newly developed molecular imaging markers both in animal and human models.