Research statement

Earthquakes and volcanic eruptions are among the most devastating events. The signatures of these events in geophysical data allow us to understand only partially their mechanism and cycles. During quiescent periods, weaker signals, such as slow earthquakes, are regularly observed, whose roles in the seismic and volcanic cycle remain poorly understood. My research focuses on identifying and modeling these signatures in a data-driven manner by viewing geophysical data through the lens of artificial intelligence. I aim to objectively define these observables and highlight the physical processes that link them to significant events in active geological systems.