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But
most importantly, I am interested in quantifying
uncertainties and tradeoffs, and exploring the level of
resolution associated with different data types and
inverse schemes. I have been mainly working on Bayesian
(i.e. probabilistic) inverse methods where the solution
is a probability density function describing the
information we have about the Earth. The goal is to
fully take into account observational and theoretical
errors, and to propagate them towards model
uncertainties. Although
I have been mainly interested in inverse theory, I am
also interested in the structure and evolution of the
Earth. For example, transdimensional inversion has
enable to detect a midlithospheric low velocity zone
under the Indian craton, and has the potential to better
image mantle discontinuities.
Here are some
research reports which briefly describe the work I
have carried out during the last years: 2012 Plate
Motions: Simpler than they Look. Multiscale
Seismic Imaging with Unknown Data Noise. Multiscale
Velocity Heterogeneity in the Lowermost Mantle. 
