Extreme precipitation increases in intensity with global warming, but the rate of increase varies across different regions and seasons in both models and observations. For example, the percentage increase in precipitation on the wettest day of the season is much larger in winter than summer for northern midlatitudes. In this talk, I will discuss efforts to understand the dynamical factors that contribute to the regional and seasonal variations in the response of precipitation extremes.  I will also discuss the potential for machine learning to improve the simulation of extreme precipitation in global models.