Since joining the CosmoStat team in 2015, I have worked on various projects in the realm of weak gravitational lensing with the goal of better understanding the dark sector of the Universe. In particular, my work is aimed at preparing different techniques for the analysis of high-quality weak-lensing data that the Euclid galaxy survey will provide. I am interested in testing cosmological models using tools such as mass mapping, second- and higher-order statistics, peak counts, and more recently machine learning.
My PhD work lived more on the theoretical side of cosmology. In my thesis, I studied the growth of structures and light propagation in a certain class of general non-symmetric spacetimes called Szekeres models. The Szekeres metric is an inhomogeneous and anisotropic exact solution of Einstein's equations, which provides a good testing ground to explore nonlinear general relativistic effects in astrophysical and cosmological scenarios.