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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.

