My primary research interest concerns the structure of human memory representations (episodic and semantic) and the learning  mechanisms through which they are formed. A central goal of my work is to disentangle learning mechanisms from the sources of information that shape memory (such as vision, language, audition, and other sensory modalities) in order to understand how different inputs contribute to shared representational formats. 

I originally come from the fields of numerical cognition and spatial memory, which inform my current theoretical approach, and I have since integrated this perspective into the study of human memory and language.

Alongside this main line of research, I investigate statistical learning processes, particularly contingent and long-exposure learning, as complementary mechanisms influencing memory formation. I also study mental imagery and dreams as privileged windows into the organization and dynamics of memory. 

To address these questions, I combine computational modeling (for language, vision and audition) with behavioral and cognitive neuroscience methods, working across diverse populations, including blind individuals, and using techniques such as eye-tracking, EEG and TMS.