Adriano Gualandi

Adriano Gualandi is a researcher at the University of Cambridge, affiliated with the Department of Earth Sciences and associated with the Cambridge NERC Doctoral Landscape Awards program as a DLA supervisor. His work focuses on nonlinear dynamical systems in geophysics, extreme events, and their hazards.

• Research Areas: Seismology, Geodesy, Fluid-Solid Earth interactions, and machine learning applications to tectonic data.
• Techniques: Combines classical statistical methods with modern machine learning to extract tectonic insights, using deterministic and stochastic models.
• Collaborations: Linked to institutions like INGV (Italy), EPOS, and British Antarctic Survey via the C-CLEAR DTP.

His publications highlight a focus on slow earthquakes, seismic cycles, and causal analysis in complex systems. Current projects explore machine learning for geophysical data and fluid-solid-earth interplay.