Theosamuele Signor is from Italy, where he first obtained a degree in Astronomy and then a master’s in Data Science for Physics, both at the University of Padua. His interests are mainly to leverage large data sets and machine learning techniques to track and understand galaxy evolution. His expertise so far comprehends the use of machine learning/artificial intelligence tools for high-redshift galaxies identification and the optimization of the orbit representation of GPS space vehicles.