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Prash Ganesan is a Postdoctoral Research Fellow at Stanford Cardiovascular Medicine. His research is focused on developing novel bioengineering approaches using signal processing and machine learning for improving personalized ablation therapy for patients with atrial fibrillation. He was previously a research fellow at the US National Institutes of Health working on conditions such as cervical cancer and Pneumonia using Deep Learning methods. In 2019, he was awarded the "Impactful Bioengineering Research" scholarship for his research on atrial fibrillation therapy. He is a co-inventor of patents on novel mapping approaches for atrial fibrillation. In his free time, he enjoys hiking, reading biographies and non-fictional books, and songwriting.
Signal processing, Pattern recognition, Atrial fibrillation, Arrhythmia Mapping