Inês Mares

Inês Mares is a Post-Doctoral researcher at the WJCR. Her work focuses on human social cognition, namely on the neural and behavioural markers of face perception and expertise. She employs different behavioural and electrophysiological methods (e.g. Continuous Flash Suppression, Eye-Tracking and EEG), as well as machine learning analysis (MVPA)  in different populations (both children and adult populations, with typical and atypical development, as well as with clinical populations with brain lesion). 
She was previously the co-PI on a project that used face processing as a model to understand how we form predictions about the quickly changing social world (funded by the Bial Foundation project 129/20). Before that she was a Post-doctoral researcher studying different aspects of face processing, such as identity recognition, gaze perception and emotion categorization, throughout development in typical and atypical populations (Funded by the Leverhulme Trust grants RPG-2016-021, RPG-2013-019).  She has published 15 articles in peer reviewed journals in collaboration with national and international universities