Saumya Sinha

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Saumya Sinha's research interests lie in harnessing deep learning to address climate change impacts and sustainability challenges. At NREL, her research focuses on physics-driven machine learning methods for weather and clean energy applications, such as downscaling and forecasting. She has also worked on exploring machine learning surrogate models for real-world physics problems.

Artificial intelligence for climate change

Foundation models

Operator learning

Research Intern, Microsoft’s AI for Good Team (2022–2022)

Graduate Research Assistant, University of Colorado Boulder (2021–2023)

Graduate Teaching Assistant, University of Colorado Boulder (2019–2021)