Program Overview: We are developing an innovative program that generates high-resolution fire projections derived from Earth system model simulations through advanced machine learning downscaling techniques.

Student Responsibilities: The student will collaborate with Dr. Erfani, a machine learning expert, to develop deep learning architectures for Earth system data downscaling using generative AI approaches such as denoising diffusion probabilistic models. A key advantage of diffusion models lies in their probabilistic nature, which enables uncertainty quantification and generation of multiple plausible scenarios rather than single deterministic outcomes. In our case, this technique offers the computational efficiency necessary to capture fine-scale spatial heterogeneity across large ensembles of plausible climate trajectories.