He received his master degree in nuclear and particle physics from Milano-Bicocca University in 2014. His background ranges from applied particle physics to environmental radioactivity and high-energy physics. His work at the nuclear fission reactor in Pavia (Italy) introduced him to the ice core science field. He did his PhD (2014-2017) at the Niels Bohr Institute (Copenhagen, Denmark), working on ice core continuous flow analysis systems and past sea ice reconstructions. He continued his research on climate reconstructions at the Niels Bohr Institute, at the Italian National Research Council and at the University of Venice in 2018 and 2019. Between 2020 and 2022 he was Marie Curie fellow at the University of Venice with a project on computer vision and Artificial Intelligence techniques applied to ice core analyses. Since September 2022 he works on glacier modeling via deep neural networks in collaboration with the University of California, Irvine. He is particularly interested in exploring AI and Machine Learning approaches to Earth System Science problems.