Research

Large-N networks

Technological advancements have pioneered the creation of dense seismic networks with large number of stations. My research implements data recorded by such arrays to better resolve the Earth.

LAB2022: https://www.fdsn.org/networks/detail/6W_2022/

SantoArray: https://www.igf.edu.pl/en/santorini-anydros-amorgos-earthquake/

AdriaArray: https://orfeus.readthedocs.io/en/latest/adria_array_main.html

Wave-field complexities

I'm particularly interested in studying complex wave-fields via dense arrays and understanding them to obtain unprecedented information. Typical examples include off-great-circle propagation and higher-mode excitation.

Imaging of sedimentary basins

Towards a better understanding of sedimentary basins (geometry, internal structure) mainly from ambient-noise tomography. A key finding from research on this topic is the illumination of shallow velocity gradients in the Los Angeles basin, previously absent from existing community velocity models and leading to an under-estimation of strong ground shaking in deterministic seismic hazard scenarios.

Fault structures

Results from the Salt Lake City basin provide evidence for fault damage zone development at the East Bench segment of the Wasatch Fault, information crucial for accurate representation of seismic sources in ground motion simulations.

Multi-parameter joint inversion of independent geophysical datasets

Another aspect of my research focuses on constructing and utilizing new tools to jointly invert independent geophysical datasets using including multi-parameter inversions. These approaches include the joint inversion of surface wave phase velocity (isotropic and anisotropic), Rayleigh wave ellipticity, Receiver Functions and gravity.

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