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Yongsheng Chen completed his PhD degree and has undertaken a postdoctoral research position at McGill University. He is an active developer of advanced numerical modeling and data assimilation systems, focusing on utilizing state-of-the-art numerical models and ensemble-based data assimilation techniques. His research aims to improve weather forecasts, regional climate predictions, and air quality forecasts. He is associated with the Severe Weather Research Lab at the Lassonde School of Engineering, where he conducts research on various topics, including mesoscale dynamics, regional climate modeling, and upper atmosphere modeling. His work significantly contributes to the fields of atmospheric science and meteorology.
Department of Liberal Arts & Professional Studies graduate programs generally follow the Faculty of Graduate Studies (FGS) B+ minimum requirement.