Rajat Masiwal

Rajat Masiwal is a postdoctoral scholar in the Department of Geophysical Sciences at the University of Chicago. His research focuses on improving sub-seasonal forecasts by integrating artificial intelligence with dynamical models. He earned his Ph.D. from the Indian Institute of Science, Bangalore, where he investigated the dynamics of the Indian monsoon using observations, theory, and idealized modeling.

His broader interests include understanding climate system processes through a hierarchy of models, combining physics-based approaches with emerging AI techniques. Additionally he maintains an active interest in the meteorology of renewable energy resources, such as wind and solar, and how better forecasting of these can support a transition to a decarbonized electricity grid