Fabrizio Magrini

Dr. Fabrizio Magrini is a Research Fellow/Lecturer at the Research School of Earth Sciences (RSES), Australian National University (ANU). He holds a Ph.D. in Earth Sciences (Geophysics) from Università degli Studi Roma Tre, Italy, and completed his M.Sc. and B.Sc. in Earth Sciences at Università degli Studi di Milano. His research focuses on observational, theoretical, and computational geophysics, particularly in seismic imaging techniques, inverse theory, optimization, and machine learning applications. He has supervised multiple students in geophysics projects and contributed to advancements in seismic methodologies through publications in high-impact journals.

• Education:
  • Ph.D. (2017–2020): Improved seismic methodologies in lithospheric imaging (Università degli Studi Roma Tre)
  • M.Sc. (2015–2017): Crystal-chemical characterization of minerals (Università degli Studi di Milano)
  • B.Sc. (2011–2014): High-pressure mineral behavior (Università degli Studi di Milano)

His research interests integrate mathematical methods and computational tools to advance subsurface imaging. Key areas include Bayesian inversion, optimal transport theory, and seismic tomography. He has developed Python frameworks like BayesBay and contributed to studies on urban seismic imaging, Alpine geology, and Mediterranean tectonics.

Dr. Magrini’s work bridges geophysical theory and practical applications, emphasizing interdisciplinary approaches to solve complex Earth science problems.