Marina Cagliari

Since October 2024, I joined LAPTh as a postdoctoral researcher in the astro-cosmo group, working under the supervision of Dr. Azadeh Moradinezhad. I completed my PhD in March 2024 at University of Milan (UniMi) under the supervision of Dr. Benjamin R. Granett and Prof. Luigi Guzzo, in collaboration with Prof. Emanuele Castorina. My PhD research focused on cosmology, particularly the analysis of large-scale structure surveys. In April 2024, I had the opportunity to spend five months as a visiting researcher at Institut d’Astrophysique de Paris (IAP), where I worked on enhancing cosmological data analysis through innovative data compression techniques.

My research interests center on developing advanced methods to improve cosmological information extraction from large-scale structure data, with a focus on integrating machine learning (ML) algorithms. Since the start of my PhD, I have been exploring the application of ML in cosmological studies for data selection, cleaning, and simulation-based inference. At IAP, I continued my research by applying ML techniques to the measurement of Primordial Non-Gaussianities—a topic that has become a key area of interest for me over the last two years.

I am an active member of the Galaxy Clustering working group within the Euclid Consortium. My contributions include working on galaxy clustering target selection, and I will be expanding my research to further investigate Primordial Non-Gaussianities.