I am a cognitive neuroscientist with more than two decades of experience working with human electrophysiology, particularly magnetoencephalography (MEG) and EEG.
My research career has included cognitive neuroscience, speech and language perception, clinical and presurgical MEG for tumor and epilepsy patients, experimental design, human-subjects research, and the technical and practical work of acquiring meaningful signals from human brains. I currently work in the Machine Learning Department at Carnegie Mellon University, where my recent research has focused on the neural representation of language using MEG.
Increasingly, that scientific background has also become material for my creative practice. Projects such as Brain Dance bring tools and ideas from electrophysiology into music and performance—not as demonstrations of neuroscience, but as ways of exploring signals, perception, transformation, and the meanings we construct from them.
Research & Publications: Google Scholar
Professional Background: LinkedIn