Giacomo SODINI has been a university assistant at the University of Vienna for the past three years. Until September 2022, he was a PhD student under the supervision of Giuseppe SAVARé at TU Munich in the group of Massimo FORNASIER. His main research interests lie at the intersection of Optimal Transport, Non-Smooth analysis, and Calculus of Variations. He works on Unbalanced Optimal Transport, on metric Sobolev and BV spaces on metric-measure spaces, and he studies geometry and evolutions in spaces of (probability) measures.

Here at TU Wien, he will work in the group of Prof. Elisa DAVOLI on developing bi-level learning schemes for simultaneous motion reconstruction and image denoising, as well as for the case in which motion reconstruction is combined with segmentation effects.