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Augments automated mouse-behaviour analysis with EEG neurophysiology, learning combined representations to identify stress phenotypes and evaluate pharmacological interventions.
Develops machine-learning approaches that combine non-invasive EEG signals with discrete behavioural symptoms in preclinical models. Outputs include a phenotyping platform serving both academic research and commercial applications.