I am a neuroscientist and engineer, working on implanted neural interfaces. I build research software, embedded Linux firmware, and algorithms for high-throughput electrophysiology.
I joined 🏢 White Matter LLC in 2018, where I designed and built the software + firmware for
e3Vision, the first commercially available frame-synchronized video acquisition system with onboard compression. I currently build software for the
eCube Wireless electrophysiology systems, some of the highest bandwidth neural interfaces in the world.
I received my Ph.D. in 2018 from 🏫 University of Washington Center for Neurotechnology, where I was a Innovation Graduate Fellow in Neuroengineering. My computational neuroscience work focused on decoding human sensorimotor neural signals, especially those associated with hand grasping and 3D perspectives.
Prior to 2013, I worked on functional MRI neuroimaging research, building statistical models of human mood disorders and automated pathways for fMRI data, at 🏫 University of California, San Diego.
Some of my published work in movement neuroscience, brain state prediction, and functional neuroimaging include:
📄 Direct stimulation of somatosensory cortex results in slower reaction times compared to peripheral touch in humans
📄 Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping
📄 Task-Specific Somatosensory Feedback via Cortical Stimulation in Humans
📄 Multistep model for predicting upper-limb 3D isometric force application from pre-movement electrocorticographic features
📄 Altered Cerebral Perfusion in Executive, Affective, and Motor Networks During Adolescent Depression
🗞️ Signal Processing Powers Next-Generation Prosthetics - IEEE Signal Processing
🗞️ Smithsonian Magazine: Melding Mind and Machine: How Close Are We?