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My research broadly encompasses severe convective storms and climate. I am especially interested in severe weather climatology and variability, and the potential effects of anthropogenic global warming on severe thunderstorm frequency and intensity. I use convection-permitting numerical models as a tool to investigate many of these research topics, which in the past has included regional climate modeling, pseudo-global warming experiments, and reconstructions of historical tornado outbreaks. Currently, my research explores severe weather prediction at subseasonal-to-seasonal time scales (2 weeks to 3 months) using machine learning.