Welcome to my homepage! I am Gabriele Todeschi, Post-doctoral researcher in the CERMICS Laboratory of the École Nationale des Ponts et Chaussées.

My research activity revolves around optimal transport, its numerical approximation and its application to modeling purposes. This includes the theory of Wasserstein gradient flows, the design of algorithms based on the geometry of optimal transport for optimization in the space of probability measures, the application to inverse problems. My ultimate goal in all my works is the development and the analysis of robust and efficient numerical tools based on the theory of convex optimization.

Previously, I was a Post-doctoral researcher in the group New challenging Monge problems and their applications of the Labex Bézout, Université Gustave Eiffel, working under the supervision of François-Xavier Vialard on the geometry of spaces of probability measures endowed with an optimal transport cost. Before that, I was a Post-doctoral researcher at the institute ISTerre of the Université Grenoble Alpes, working with Ludovic Mètivier (ISTerre) and Jean-Marie Mirebeau (ENS Paris-Saclay) on the application of optimal transport to seismic imaging.

I did my PhD in the Inria-Ceremade team MOKAPLAN, under the supervision of Jean-David Benamou, Thomas Gallouët (Inria, Paris) and Clément Cancès (Inria, Lille). I defended my thesis in December 2021. The objective was to develop efficient and reliable numerical tools to solve the quadratic optimal transport problem and Wasserstein gradient flows. I was also a fellow of the Marie Sklodowska-Curie Cofund MathInParis Doctoral Program of the Fondation Sciences Mathématiques de Paris (FSMP).

You can find my complete cv here.