Leonard started in January 2022 at the MIT Department of Earth, Atmospheric, and Planetary Sciences. His research focuses on understanding physical processes within fault and volcanic systems. With tools taken from artificial intelligence, Leonard’s investigate continuous geophysical time series to reveal and inventorize the signature of physical processes. With such approaches, he aims to better constrain our physical understanding of the signatures observed within these systems (such as tremors or slow-slip events) or to discover new signatures that could open up new avenues in modeling the seismic or volcanic cycle.
PhD in Geophysics and Signal Processing, 2016
Institut de Physique du Globe de Paris and Institut Langevin
MS in Engineering Sciences, 2013
Pierre and Marie Curie University, Paris, France
BS in Physics, 2012
Paul Sabatier University, Toulouse, France