He worked on his Master's thesis titled "Dissecting the information content in the large-scale structures of the Universe using machine learning" under the supervision of Dr. Francisco Villaescusa-Navarro of the Flatiron Institute, New York, USA, where he investigated the scales and morphological features of the cosmic web from large-scale simulations to understand the origins of the cosmological information extracted by neural networks. For his PhD, he will be working on the topic "Morphology and Spatial Distribution of the Dust Emission using Deep Learning Methods" at FORTH with a strong collaboration with the CosmoStat Laboratory at CEA Paris-Saclay, as part of the TITAN project.
