Matteo Ravasi is an Assistant Professor at KAUST in the School of Earth Science and Engineering. Prior to that, Matteo held a variety of roles in Equinor both within research and operations and has led the development of several open-source software products in the geophysical domain. He holds a Phd in Geophysics from the University of Edinburgh and an MSc and BSc in Telecommunication Engineering from Politecnico di Milano.

Matteo has made several contributions in the areas of seismic processing and imaging by developing novel methods to improve the quality and resolution of subsurface imaging products. For his work, Matteo is the recipient of the SEG Karcher Award, RAS Keith Runcorn Prize, and Gustavo Sclocchi Theses Award. He is also the inventor of 2 international patents and author of 18 peer reviewed papers. Matteo is heavily involved in the development of the open-source Python framework for large-scale inverse problems PyLops.

Matteo’s areas of expertise is in Inverse Problems, Seismic Processing and Imaging, Machine Learning, and High-Performance Computing.