It is often low-probability extreme events, rather than averages, that lead to the biggest impacts. In the Extreme Statistics Research Group, we develop novel statistical methodology and machine learning methods to better understand and predict high-impact events in a wide range of applications ranging from climate and earth sciences, to finance, and neuroscience.