Dr. Christopher Rozoff is a Scientist VI at NSF NCAR’s Research Applications Laboratory, whose research bridges high-resolution numerical modeling, machine learning, and weather hazard research. His work spans three interconnected themes: (1) large-eddy and mesoscale simulation of extreme wind and weather hazards at smaller scales, using models such as CM1, FastEddy, and WRF; (2) application of AI/ML methods, including analog ensembles, deep learning, and probabilistic downscaling, to emulate computationally expensive simulations and enable rapid hazard assessment; and (3) application of these tools to pressing societal challenges including coastal infrastructure, tropical cyclone landfall impacts, air quality prediction during wildfire events, and urban weather modification.