My research focuses on methods to integrate predictive spatio-temporal models using deep learning with probabilistic models, enhancing our ability to represent and reason about uncertainties in both models and predictions.
One of the primary applications of this research will be in collaboration with SMHI, the Swedish Meteorological and Hydrological Institute, where we will work toward developing AI-driven systems for weather forecasting, data assimilation, and climate simulations.
One of the primary applications of this research will be in collaboration with SMHI, the Swedish Meteorological and Hydrological Institute, where we will work toward developing AI-driven systems for weather forecasting, data assimilation, and climate simulations.
