Summary
Léonard Seydoux is an assistant professor at Institut de Physique du Globe de Paris with a decade of experience applying AI and geophysical methods to analyze large-scale seismic data and monitor geological systems. Trained with a PhD in Geophysics and Seismology, he combines array processing, event detection and classification expertise with a track record of postdoctoral research at MIT, Rice University and ISTerre. He designs new analysis tools and deploys them on real datasets, bridging methodological innovation and operational monitoring. Based in Paris, he brings both deep academic credentials and hands-on implementation skills, often translating cutting-edge algorithms into practical workflows for seismic monitoring. An aspect that sets him apart is his focus on scaling analysis to vast, heterogeneous geophysical datasets rather than isolated case studies.
10 years of coding experience
5 years of employment as a software developer
Bachelor of science, Physics, Bachelor of science, Physics at Université Paul Sabatier (Toulouse III)
Master of science, Engineering sciences, Master of science, Engineering sciences at Université Pierre et Marie Curie (Paris VI)
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at Institut de Physique du Globe de Paris
English, French, Spanish, Italian