Thomas Schatz

Thomas Schatz is an Assistant Professor at Aix-Marseille University, investigating intelligence across humans, animals, and machines. His research emphasizes how human infants learn to perceive their environment, particularly speech, and how these biological processes can inspire the design of cost-effective, advanced artificial learning systems.

• Fields of Interest: Cognitive Science, Artificial Intelligence, Developmental Psychology, Speech Perception, Machine Learning, Computational Neuroscience

Recent Work: Schatz's 2021 publication on phonetic learning in infants, using large-scale simulations of realistic input, highlights the intersection of cognitive modeling and machine learning. This work underscores cross-disciplinary approaches to understanding perception and advancing AI systems.