Clinical neurolinguistics, language health across the lifespan & BCI
Clinic-based language research on how language and communication develop, mature, and change across the lifespan and in clinical populations — from typical development and healthy aging to speech, language, and voice disorders — and how brain–computer interfaces (BCI) can support assessment, rehabilitation, and augmentative communication.
Neuro-cognitive computing and artificial intelligence
Modeling the cognitive and neural mechanisms of language with machine learning, deep learning, and large language models — encoding and decoding language information from behavioural and brain data, and evaluating how faithfully AI systems represent and process human language.
Cognitive neuroscience of vocal communication
How the voice conveys emotion, intention, and speaker identity, and how listeners perceive and decode these signals in real time — combining acoustic, behavioural, eye-tracking, EEG/ERP, and fMRI methods to reveal the underlying brain mechanisms.
Neuropragmatics & the en/decoding of nonverbal signals in social communication
The neural pragmatics of social communication: how speakers encode and listeners decode nonverbal signals — prosody, facial expression, gaze, and gesture — to infer meaning, attitude, and social intention beyond the literal words.