Our interdisciplinary scientific interests centre on understanding the brain mechanisms underlying human communication. With that goal in mind, our research spans a wide range of topics at the intersection of cognitive science, communication and linguistics research, and computer science. Overall, our approach aims to develop machine learning and signal processing methods for the analysis of neural data and other biosignals (Theme 1: Neural Data Science). Such methods are then used to identify the brain processes responsible for the transformation of complex sensory stimuli (e.g., speech) into its abstract neural representation (Theme 2: Human Communication). The findings of the first two themes lead to new opportunities for applied and translational research that centre on the development and use of novel objective indices of cognition (Theme 3: Applied Research).



Research themes and projects