Paulo Bruno Serafim is a Ph.D. student in Computer Science at the Gran Sasso Science Institute. His research interests include scientific machine learning applied to Integrated Assessment Models and neural network optimization. Furthermore, he develops work in multi-agent cooperation and competition, emulation of human play styles in Non-Player Characters, and interpretability of autonomous agents using Deep Reinforcement Learning techniques. In the past, he worked as a Research Engineer at the COATI team at the Centre Inria d'Université Côte d'Azur, as well as a Lead Data Scientist, Computer Vision Engineer, and Computer Graphics Engineer at the Instituto Atlântico. He holds a Master's degree and a Magna Cum Laude Bachelor's degree in Computer Science from the Federal University of Ceara, where he is an external collaborator of the CRAb research group.