I am currently working on the EU Horizon 2020 Project ArcticPASSION which aims to build a coherent and integrated pan-Arctic observing system. I am interested in using different data science and machine learning techniques to analyze the dynamics of polar glaciers from different Earth Observation datasets, including satellite imagery and altimetry data. From February to April 2023, I was a visiting Research Fellow at the AI4EO Future Lab of the Technical University of Munich, where I explored novel deep learning methodologies and their applications in polar glaciology. I completed my PhD on “Mapping Antarctic grounding zones from ICESat-2 laser altimetry” in December 2022 at the Bristol Glaciology Centre. During my PhD, I produced the first ICESat-2-derived high-resolution Antarctic grounding zone product. This new product was published at the NASA National Snow and Ice Data Center Distributed Active Archive Center (NSIDC DAAC) and has been used to understand the behavior and stability of the Antarctic Ice Sheet and its contribution to sea level rise.