Gonzalo Muradas

Gonzalo Muradás Odriozola is a PhD researcher at KU Leuven working at the intersection of psychology and artificial intelligence. With a background in computer science, he explores how computational models can help us understand human aesthetic preferences in visual images.

His research focuses on mid-level visual features—such as symmetry, balance, and perceptual grouping—and how these influence aesthetic judgments. By combining machine learning techniques with insights from experimental psychology, Gonzalo aims to bridge human perception and artificial systems in the study of visual aesthetics.