Andrea received his BSc in Physics from the University of Messina in 2018, with a thesis on quantum decoherence and non-Hermitian quantum dynamics. He continued his study of the field and learned about Monte Carlo simulation, Nosé-Hoover thermostats, and Fortran. He received his MSc in Condensed Matter Physics in 2020 with a thesis on the subject and published a paper following up on that work in 2021. During that period, he also started taking interest in Computer Engineering and studied several programming languages as autodidact. He started working on neural networks design before the end of his MSc and ultimately started his PhD at the University of Messina. Soon after, he began working on probabilistic computing. He eventually joined OPUS Lab at UCSB at the start of 2022 as a visiting PhD student to work on new directions in probabilistic computing. Apart from research, Andrea likes reading, playing video games, tabletop games, and drawing.