|Research Interests: || ||
I aim to better understand how the mind and brain function normally, and how their dysfunction in neurological conditions. I'm especially interested in higher cognition - that is how we understand and interact with the world around us.
I have a mixed background: mixing start-ups with academia, and with training in engineering, linguistics, cognitive neuroscience and machine learning. I use state-of-the-art data science methods to decode psychological states from recordings of brain activity, using a range of neuroimaging technologies (EEG, fMRI and MEG), and relate these patterns to what a person is seeing, thinking or doing at a given moment. Better grounded models of human intelligence can then inform machine intelligence, through larger and more realistic knowledge bases.
Current projects focus on:
- recording brain activity in the wild, crowd neuroscience, mobile EEG
- comprehensive modelling of rich media experiences (audiobooks, games, film)
- EEG-assisted detection and screening for neurodegenerative conditions (dementia, Multiple Sclerosis)
- modelling concepts and the mental lexicon, using multi-modal datasets (text corpora, image databases, neuroimaging data)