17-yr-old Indian-American's AI method 68x more efficient, wins $25K scholarship

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Seventeen-year-old Indian-American student Pavan Subramani won a $25,000 Davidson Fellows scholarship for an AI method that accelerated molecular simulation sampling 68-fold in a test. The research could help computational drug discovery, though the article describes potential applications rather than a clinical result.

Pavan Subramani, a 17-year-old Indian-American student from West Virginia, has received a $25,000 Davidson Fellows scholarship for developing an AI-based method to accelerate molecular simulations. His research improved sampling efficiency 68-fold in a specific test and helped simulations reach equilibrium ligand-binding populations more than four times faster, potentially supporting future computational drug discovery research.