I'm a PhD candidate at Inria, working in the ARCHES team under the supervision of Anastase Charantonis and Dominique Béréziat. My research lies at the intersection of climate science and machine learning, where I focus on reducing uncertainties in learned circulation models.
More specifically, I'm currently exploring how generative AI can be used for downscaling, i.e., turning coarse climate simulations into finer details needed for local-scale analysis.
With a background in statistics, applied mathematics, and computer science, I completed my Master's in Computer Science at Sorbonne Université, where I did my thesis in collaboration between LOCEAN and ISIR. There, I worked on data imputation methods for oceanographic variables, especially phytoplankton, which deepened my interest in applying machine learning to environmental questions.
When I'm not debugging code or reading papers, you'll likely find me hiking or exploring museums.
chilling on top of the Acropolis, Athens
news ↗
Presented a poster on weather super-resolution at EGU General Assembly 2026 in Vienna 🗺️🎉 Great to see the community growing around ML for weather and climate.
Presented our work on weather super-resolution at Climate Informatics 2026, preprint on arXiv 🌦️ Great talks and discussions all around!
Participated in the IESF Convention Scientifique on scientific knowledge production and its reception by society: 4 intense weekends, fascinating people, and we presented our report at the Senate 🏛️