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Pratyush Tiwary bags American Chemical Society’s Early Career Award
He was recognized for creating theoretical and computational methods that tackle problems in chemical physics, biophysics, and pharmaceutical research.
Lee Alexander Professor Pratyush Tiwary / University of Maryland
The American Chemical Society (ACS) has granted the 2025 Early Career Award in Theoretical Chemistry to Pratyush Tiwary for his groundbreaking work in statistical physics and artificial intelligence (AI).
Tiwary’s research includes developing RAVE, an open-source software that accelerates molecular simulations. It has use in tackling problems in the fields of materials research and medication development.
Also read: University of Maryland honors Richa Mathur with Impact Award
The Lee Alexander Professor at the University of Maryland (UMD), Tiwary has assumed leadership positions in several departments and authored over 60 research articles since joining UMD in 2017.
In 2024, he demonstrated how statistical mechanics could enhance Google’s AlphaFold, which predicts biomolecular structures. His 2022 study explored how cancer drug resistance develops at a molecular level, a discovery that could lead to more effective treatments.
Since 2023, Tiwary has led therapeutic drug discovery research at the University of Maryland Institute for Health Computing (UM-IHC), where he has filed two provisional patents. One focuses on RNA structure prediction, a finalist for an Invention of the Year Award, while the other aids in designing CAR T-cells for immunotherapy.
“I feel a sense of disbelief but also gratitude because it’s our College of Computer, Mathematical, and Natural Sciences (CMNS) students who enable everything,” Tiwary said. “Anytime I get an award or recognition, I just feel very lucky to have these students and postdocs that I work with, because without them, nothing would happen.”
Tiwary will be formally recognized at the ACS awards reception this fall, where he will present on the role of AI in theoretical chemistry. He also plans to continue advocating for science outreach, recently teaching congressional staffers about AI’s role in scientific research.
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