most importantly, I am interested in quantifying
uncertainties and trade-offs, 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.
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 mid-lithospheric low velocity zone
under the Indian craton, and has the potential to
better image mantle discontinuities.