- Innovations in the field of non-invasive brain stimulation.
- Application of EEG, MEG to record electromagnetic oscillations, and development of new mathematical approaches to quantify other aspects of brain physiology.
Research Experience
- Developing non-invasive neuromodulation methods for treating psychiatric and neurological disorders.
- Combining existing and novel stimulator technologies to target specific brain areas more accurately.
- Employing real-time computer systems to obtain ongoing brain activity, ensuring that the timing of stimuli respects crucial windows of opportunity.
- Investigating basic mechanisms of perception (e.g., binocular rivalry) and cognition (e.g., working memory).
- Real-time modeling and classification of brain states using EEG and MEG data.
- Developing brain-computer interfaces (BCIs) to control exoskeletons for motor function rehabilitation.
Background
Focused on clinical neurotechnology research, particularly in non-invasive brain stimulation and next-generation brain-machine interfaces.
Miscellany
Research interests include: closed-loop brain stimulation, real-time modeling and classification of brain states, neural control of exoskeletons, and applications of optically pumped magnetometers.