17-yr-old Indian-American's AI method 68x more efficient, wins $25K scholarship
Pavan Subramani, a 17-year-old student, has developed an AI-driven method that accelerates molecular simulations for drug discovery by 68 times. His research, which combines generative diffusion models with molecular dynamics, earned him a $25,000 Davidson Fellow scholarship.
Why it matters
This innovation could significantly reduce the time and computational costs required to identify new life-saving medications.
A 17-year-old Indian-American student from Morgantown, West Virginia, is earning recognition for research that could help make drug discovery faster and more efficient. Pavan Subramani, a senior at Morgantown High School, has been named a 2026 Davidson Fellow and awarded a $25,000 scholarship for developing an artificial intelligence-based method to accelerate molecular simulations, according to his profile on the official Davidson Fellows website.His research combines generative diffusion models with molecular dynamics simulations, allowing scientists to study how proteins move and how potential drugs interact with them. In testing, his method sampled important molecular configurations 68 times more efficiently than conventional molecular dynamics for a specific measure of sampling efficiency.
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