Works at the Seismological Laboratory of the California Institute of Technology, leading the Ross Lab. The team develops and incorporates algorithms from machine learning and applied/computational mathematics to extract hidden signals from the largest seismic datasets to achieve research goals.
Background
Research interests include high-resolution imaging of fault zones, the rich patterns formed by earthquake sequences in space and time, resolving details of the earthquake source process over a time scale of seconds, characterizing the expected ground shaking during large, damaging earthquakes, and using all of these observations together to constrain the structural and mechanical properties of fault zones at depth. The team focuses on understanding earthquakes, fault zones, and their hazard potential in California and beyond.