Niccolò Maffezzoli
I am a researcher at Ca’ Foscari University of Venice, Italy. My research focuses on machine learning models applied to the cryosphere domain.My email is niccolo (dot) maffezzoli (at) unive (dot) it
I received my MSc degree in nuclear and particle physics at Milano-Bicocca University. My background is applied particle physics and high-energy physics. My work at the Triga Mark II nuclear fission reactor in Pavia (Italy) lead my in contact with the ice core science world.
I did my PhD and a PostDoc at the Center for Ice and Climate (Copenhagen, Denmark),
working on Continuous Flow Analysis systems and inductively coupled plasma mass spectroscopy for the detection of chemical tracers in order to reconstruct past sea ice conditions.
From 2020 to 2022 I carried out a Marie Curie Fellowship at the University of Venice and University of Bergen with a project on Artificial Intelligence techniques applied to ice core analyses (ICELEARNING).
From 2022 to 2023 I was PI of the ICENET, a pilot project on glacier modeling using deep neural networks, at the National Research Council (Institute of Polar Sciences), in collaboration with the University of California, Irvine. From 2023 I was granted another Marie Curie project, SKYNET, to calculate the ice volume of all the World’s glaciers, using AI/ML, in collaboration with the University of California Irvine.
The model is published in the Geophysical Model Development journal (paper), the code is publicly available on GitHub.
A Web Visualization tool for the global inversion can be found here.
I am particularly passionate about deep learning and tackling Earth science problems using AI and machine learning methods.