Research

I study how the brain can be measured and shaped in real time – and how that capability moves from the lab into applied, real-world settings.

Focus areas

Neuromodulation. Transcranial focused ultrasound (tFUS) and photobiomodulation for precise, noninvasive modulation of specific brain networks.

Real-time brain state. EEG pipelines that track attention, arousal, and cognitive or meditative state as it happens.

Neurotechnology & BCI. Machine-learning brain–computer interface pipelines and neurofeedback systems.

Applied psychophysiology. Multimodal monitoring – EEG, respiration, heart rate, blood pressure, and motion – designed to work outside the lab.

Methods & tools

EEG (ERP, time–frequency, connectivity, complexity, aperiodic/1-f), MRI (T1, BOLD, ASL, DTI), transcranial focused ultrasound, and photobiomodulation; multimodal psychophysiological acquisition; and analysis in Python, MATLAB, and R (EEGLAB, Brainstorm, SPM, FSL, CONN) using reproducible, version-controlled pipelines.

Across my graduate and postdoctoral work I have run 150+ participants across 6+ studies and trained 10+ research assistants in EEG acquisition, neuromodulation, and data analysis.

For peer-reviewed work, see Publications; for a full record, see my CV.