I recently started a tenure track (RTDB) at the University of Venice in October 2021, after spending more than one year as a PostDoc at the University of Rome (La Sapienza) under the supervision of Prof. Emanuele RodolĂ , working on Deep Learning applied to shapes and general graphs within the ERC project SPECGEO. In 2019 I spent one year as a PostDoc in the Geometric Deep Learning group of Prof. Michael Bronstein in Lugano (Switzerland) and previous three years as a PostDoc in the Computer Vision group of Ca' Foscari University of Venice, after receiving my Ph.D. in Computer Science in 2015.

My research interests spread among different aspects of Computer Vision and Deep Learning. During my Ph.D. I mostly focused on camera calibration and three-dimensional structure acquisition techniques to perform a rapid and reliable contact-less measurement of objects using multiple cameras. During my last year of Ph.D. I spent four months as a visiting student at TU Munich within the Shape Analysis group of Prof. Dr. Daniel Cremers. Here I started a still-ongoing collaboration on some advanced topics on Deformable Shape Matching, specifically in adopting spectral methods in presence of noise, partiality, and clutter.

Since 2017 I'm also a member of the Computer Vision spin-off DigitalViews Srl. I've been a Scientific Advisor for several industrial projects concerning the in-line quality control from both a metrological and non-metrological (e.g. scratches or visual anomalies) point of view. I'm on the program committee and serve as a referee in several international Journals and Conferences (IJCV, Pattern Recognition, Pattern Recognition Letters, CVPR, ECCV, BMVC, 3DV, SGP,...). I've organized two SHREC contests in non-rigid shape matching and retrieval (2016,2017).