My primary research interests in technology focus on visualizing the complexity of physical interaction. I have been drawn to ways in which technology can illuminate power dynamics, implicit biases, and unseen boundaries of non-verbal communication. This work has led to collaborations with a range of technologists, engineers, clinicians, and roboticists, to challenge what is measurable and what is lost when assumptions reduce possibilities of physical experience. 

Since 2016, I have been working on the development of specialized wearable technology for kinesthetic motion capture.


This technology has been used in performance, where sensors worn by dancers capture subtle elements of movement, including relative position (infrared proximity, gyroscopic orientation), acceleration, intensity and duration of pressure, and muscular activation (EMG). Movement is synthesized into a notational system which can be read by live musicians, as well as trigger sound through MAX patches.

This research has been supported by the MIT Media Lab, Harvard Consortium for Digital Humanities, Jacob's Pillow Dance Festival, Harvard ArtLab, Centre for Dance Research (UK)NYU Center for Ballet and the Arts, and shared TEDx Providence, the American Academy of Arts and Sciences, and the Centre for Performance Research (NY).