Sanjiv Narayan

Sanjiv Narayan is a Professor of Medicine (Cardiovascular Medicine) and Director of the Stanford NIH T32 CHIP Program. He leads the Computational Arrhythmia Research Laboratory (CARL), focusing on atrial fibrillation (AF) and ventricular arrhythmia ablation techniques. His interdisciplinary background in computer science and medicine drives innovations in bioengineering and data science.

Education:

• M.B., Ch.B. (Medicine), University of Birmingham, UK (1987)
• MSc (Computer Science), University of Birmingham, UK (1990)
• Residency in Internal Medicine, Harvard/Mount Auburn Hospital (1994–1996)
• Fellowship in Cardiology/Electrophysiology, Washington University/Barnes Hospital (1996–2001)
• Additional Training: Computational Neuroscience (UCLA, 1995), Data Science (UC Berkeley, 2022–)

Research Focus: CARL pioneered AF mapping tools like Focal Impulse and Rotor Mapping (FIRM), foundational to commercial systems. Current work integrates AI, digital twins, and multimodal data to predict AF outcomes and improve ablation success rates.

Awards:

• Heart Rhythm Society Distinguished Scientist Award (2022)
• Castle Connolly Top Doctor (2017–present)
• NIH Grants (K23, R01 series)

Grants & Funding: Supported by NIH since 2001, the Laurie C. McGrath Foundation, and industry collaborations. CARL co-invented intellectual property licensed to Abbott Laboratories (via Topera acquisition).

Labs & Teams: CARL collaborates globally, with trainees winning 2–3 awards/grants annually since 2003. Key projects include AI-driven wave tracking, digital twins for electrolyte imbalance modeling, and explainable machine learning for risk profiling.