The Ross Lab studies the physical processes behind earthquakes and faults. We use bleeding-edge algorithms from machine learning and applied and computational mathematics to extract hidden signals from the largest seismic datasets and gain new insights into the complex faulting process at depth. Our research focuses on high-resolution imaging of fault zones; understanding the rich patterns formed by earthquake sequences in space and time; resolving details of the earthquake source process over a time scale of seconds; and using all of these observations together to constrain the structural and mechanical properties of fault zones at depth.