Caitlyn Antal

Caitlyn Antal is a Postdoctoral Research Fellow at the MRC Cognition and Brain Sciences Unit (CBU), University of Cambridge. Before joining Cambridge, Caitlyn completed a PhD in Psychology at McGill University and an MA in Psychology at Concordia University, both in Montreal, Canada. Her work focuses on how the brain represents and organizes meaning. She investigates this topic from an interdisciplinary perspective, combining computational, neuroimaging, psycholinguistic, neuropsychological, and theoretical work.

At the CBU and King’s College, Caitlyn is developing a computational model of object recognition to understand how the brain gradually transforms visual input into meaningful representations. By integrating visual information, sampled through eye movements, with conceptual knowledge—what we know about objects, including their meanings, properties, and uses—her work aims to develop a more biologically plausible model of how humans recognize objects in the real world.

At King’s, Caitlyn also hopes to contribute to interdisciplinary discussions on foundational questions about the nature of meaning, language, computation, and human thought, while creating opportunities for undergraduate research and mentorship across these areas.