Professor Kausik RayCardiology in Central London
Professor Kausik Ray
BSc(Hons) MBChB MD FRCP(Lon) FRCP(Ed) MPhil(Cantab) FACC FESC FAHA
GMC: 3431090It is not possible to contact or book an appointment with this doctor.
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Professional statement
Professor Kausik Ray is an internationally renowned cardiologist, Professor of Public Heath, and Director of the Imperial Centre for Cardiovascular Disease Prevention, in the School of Public Health at Imperial College London. He specialises in cholesterol (including the use of statins in treatment), preventative cardiology, and heart problems in diabetic patients. He is an expert at the forefront of his field and is developing many of the new and emerging therapies in his area of interest. He is also Honorary Consultant Cardiologist at the Imperial College NHS Trust seeing NHS patients at the Hammersmith Hospital.
Professor Ray graduated in medicine from the University of Birmingham, before completing an MD at the University of Sheffield, followed by a postdoctoral fellowship at Harvard Medical School, and finally an MPhil in epidemiology from the University of Cambridge. A member of various academic societies, he is known for his contributions to his field in the form of his extensive research, particularly into lipids, including statin therapy, diabetes, and the prevention of cardiovascular disease, and has recently been included in Clarivate Analytics' 2018 Most Cited, meaning he is among the top 1% most cited academics in his field globally.
Professor Ray graduated in medicine from the University of Birmingham, before completing an MD at the University of Sheffield, followed by a postdoctoral fellowship at Harvard Medical School, and finally an MPhil in epidemiology from the University of Cambridge. A member of various academic societies, he is known for his contributions to his field in the form of his extensive research, particularly into lipids, including statin therapy, diabetes, and the prevention of cardiovascular disease, and has recently been included in Clarivate Analytics' 2018 Most Cited, meaning he is among the top 1% most cited academics in his field globally.