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Prash Ganesan is a Postdoctoral Research Fellow at Stanford Cardiovascular Medicine. His research is focused on developing novel signal processing and machine learning approaches for 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. He was recognized in the prestigious Forbes 30 Under 30 Asia 2022 list in Healthcare and Science category. He is a co-inventor of patents on novel mapping approaches for atrial fibrillation. He aspires to become a renowned bioengineering scientist developing innovative methods to improve healthcare globally. In his free time, he enjoys hiking, playing professional drums, and exploring restaurants and food places.
Signal processing, Pattern recognition, Atrial fibrillation, Arrhythmia Mapping