Andrea Sante

Andrea joined the Center for Computational Astrophycis (CCA) as part of the Pre-Doctoral Program in September 2025 to investigate the properties of stellar streams in high-resolution cosmological simulations and their application for the study of the nature of dark matter. He graduated from the University of Manchester with a First-Class Honours degree in physics with astrophysics. His Master’s thesis involved the development of a deep learning pipeline for the identification of single pulse signals from pulsars in radio observations. In 2022, Andrea joined the LIV.INNO centre for doctoral training in data intensive science as a PhD student. He is part of the High-Performance Computing group at the Astrophysics Research Institute, Liverpool John Moores University, where he is investigating the formation history of the Milky Way through the implementation of machine learning models trained on cosmological simulations. In 2024, Andrea also joined the research community of the Alan Turing Institute, the UK national centre for data science and AI, as a Ph.D. Enrichment student.