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Sanjiv Narayan is a Professor of Medicine at Stanford University, specializing in Cardiovascular Medicine and directing the Computational Arrhythmia Research Laboratory (CARL). With over 30 years of experience, he has pioneered techniques for mapping atrial fibrillation (AF) to improve ablation success rates and has collaborated internationally on developing bioengineering solutions for human heart rhythm disorders. Born in Aylesbury, England, he received his MB ChB from the University of Birmingham, where he focused on neural networks in his MSc. He conducted research at UCLA under Dr. Arthur Toga, leading to significant contributions in computational neuroscience. Narayan has received several awards, including the Distinguished Scientist Award from the Heart Rhythm Society and numerous "Top Doctor" recognitions. His lab is renowned for its success in funding and mentoring future leaders in the field of electrophysiology, guiding them to prestigious fellowships and awards. Dr. Narayan’s clinical interests include clinical cardiac electrophysiology, AF ablation, and ventricular ectopic beats.
Stanford University • Palo Alto, CA
Director of NIH T32 CHIP Program, overseeing initiatives in Computational Medicine and leading the Arrhythmia Center.
Arrhythmia Center, Stanford Medicine • Palo Alto, CA
Leads clinical practices and research in atrial fibrillation and other rhythm disorders.
Electrophysiology Research, Stanford Medicine • Palo Alto, CA
Directs research programs and clinical trials focusing on cardiac electrophysiology.
Innovative techniques for detecting and diagnosing rhythm disorders.
Techniques designed to detect rhythm disturbances and facilitate treatment.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.