Scott Bachman is an oceanographer and climate scientist at the National Center for Atmospheric Research (USA). He holds an M.S. in Applied Mathematics and a Ph.D. in Atmospheric and Oceanic Sciences from the University of Colorado, Boulder, and completed his postdoctoral research at the University of Cambridge (UK). Scott specializes in the development of numerical models used for climate prediction, and in particular uses a combination of mathematical and physical theory to guide improvements for the ocean component of these models. He is interested in incorporating machine learning methods into weather and climate models to improve model skill and to open up new avenues for climate analysis.
Machine Learning and Artificial Intelligence