Summary
Matteo Ravasi is a Senior Research Advisor at Shearwater GeoServices with nine years of experience at the intersection of geophysics, applied mathematics, and computational imaging. He develops novel theories and scalable numerical algorithms for seismic inverse problems and subsurface imaging, and leads efforts to translate research into commercial AI and MLOps solutions for seismic processing. Matteo is the main developer of the PyLops open-source framework and has a track record of initiating and maintaining community software (including contributions that grew from internal tools like SegyIO). His past roles include faculty research leadership at KAUST—where he led a multicultural team, secured substantial funding, and co-founded an industry consortium—and senior technical positions at Equinor and Statoil focused on 4D seismic monitoring and reservoir integration. He blends high-performance computing, uncertainty quantification, and emerging deep-learning–plus–optimization approaches, and has been recognized with awards and high-performance computing prize nominations. Based in London, Matteo pairs rigorous academic training (PhD in Geophysics) with hands-on engineering to drive practical, open-source solutions for large-scale inverse problems.
9 years of coding experience
4 years of employment as a software developer
Ph.D, Geophysics, Ph.D, Geophysics at The University of Edinburgh
M.Sc, Telecommunication Engineering, M.Sc, Telecommunication Engineering at Politecnico di Milano
Alta Scuola Politecnica
Italian, English