My research group studies earthquakes and the Earth’s interior at all scales. We extract information from ground motion recorded at global and regional seismic networks to produce three-dimensional models of the Earth’s interior and/or of the physics of seismic sources, mostly using high-performance computing. Much of our work is methodological and machine learning plays an increasingly important role in our approach.