Data Science and Computational Seismology Lab at Michigan State University started from Fall 2017. Our lab focuses on analyzing, computational modeling, and inversion of seismic full waveform data from earthquakes and ambient noise. In order to assimilate large seismic data sets for imaging earthquake sources and the elastic properties of the Earth, we develop and apply data analytics and numerical tools harnessing the power of high performance computing. Our main objectives are to obtain and study high-fidelity images of Earth’s interior structure, source rupture complexity of large earthquake, and spatial and temporal distributions of intermediate and large earthquakes. Our ultimate goal is to better understand mantle and plate tectonic processes that impact the Earth’s surface and earthquake rupture processes that pose seismic hazards.