Summary
Saumya Sinha is a postdoctoral researcher at the National Laboratory of the Rockies with a Ph.D. in Computer Science from the University of Colorado Boulder and eight years of experience applying advanced machine learning to energy and environmental problems. Her work spans physics-informed weather downscaling, generative models for energy applications, extreme weather detection from satellite imagery, probabilistic solar forecasting, and long-term sea level prediction, bridging academic rigor with real-world operational needs. At NLR she is building a generative AI system that fuses multimodal inputs—satellite imagery and conversational queries—for energy modeling and is exploring how LLMs can be adapted to improve causal reasoning in scientific contexts. Prior roles include a Microsoft AI for Good internship and industry analytics positions where she developed reproducible modeling pipelines and teaching roles in data structures and machine learning, reflecting a blend of research, engineering, and pedagogy. A mathematician by training from IIT Kharagpur, she brings strong numerical and systems thinking to interdisciplinary climate and energy challenges.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Colorado Boulder
Integrated M.Sc Mathematics and Computing, Integrated M.Sc Mathematics and Computing at Indian Institute of Technology, Kharagpur
English, Hindi