Thomas Schatz is an assistant professor at AMU in the Computer Science and Systems Laboratory (LIS, UMR 7020) and the Language Cognition and the Brain Institute (ILCB). He studies learning in animals as well as in machines, with a focus on understanding how human infants learn to perceive the world and how that might inspire the design of less costly, more capable and more reliable artificial learning systems. After being admitted to the Ecole Normale Supérieure de Cachan in Computer Science, he studied for his PhD with Emmanuel Dupoux and Francis Bach at the Ecole Normale Supérieure, where he introduced a novel method to evaluate unsupervised speech representation learning systems that has since become widely used in speech technology. As a postdoctoral fellow with Naomi Feldman at the Massachusetts Institute of Technology and the University of Maryland, he contributed to our understanding of the development of speech perception in human infants.