Mario Pasquato received his Ph.D. in Physics from Pisa university in 2010. In Pisa he also attended Scuola Normale Superiore, receiving a BSc. (2004) and MSc. (2006).
As a summer intern in Space Telescope Science Institute in Baltimore, MD he developed a strong interest in numerical astronomy, simulating star clusters on a hunt for intermediate-mass black holes. After a brief period in industry and a postdoc in Bologna (Italy) he moved to Yonsei University (Korea) where he spent five years as a fellow, falling in love with machine learning. In 2017 he came back to Padua (Italy) as a MSCA-COFUND fellow at the National Institute of Astrophysics on a mission to bring machine learning techniques to Astronomy.
Mario carries out his research at the CAP3 center at NYUAD, working with Prof. Macciò, among other projects on automated simulation-observation translation (Nihao-Alma) with deep learning and on applying sparse identification techniques to variable stars to infer their governing equations in collaboration with his fellow fellow Moe Abbas.
Mario Pasquato's research interests here at CAP3 are: