Clinical Neurotechnology Research Assistant for the BrainGate2 clinical trials at Stanford, a team working to develop and test novel neurotechnologies to help people with neurologic disease, injury, or limb loss.

Research assistant for Stanford's Neural Prosthetics Translational Laboratory (NPTL). A team that conducts research aimed at providing clinically useful neural prostheses for people with paralysis.

Current Role at Stanford

Research Assistant, Neurosurgery

Clinical Neurotechnologist for the BrainGate2 clinical trials

Education & Certifications

  • M.S., CSUFullerton, Kinesiology (2009)
  • B.S., CSUFullerton, Kinesiology (2005)

Service, Volunteer and Community Work

  • Palo Alto YoungLife Volunteer Leader (2012 - 2014)


    Palo Alto, CA

  • Home Builder Habitat for Humanity, Habitat for Humanity (2000 - 2010)


    New Orleans, LA & Mexico


Professional Interests

I enjoy working with people with paralysis and movement disorders.

Professional Affiliations and Activities

  • Member, Society for Neuroscience (2011 - Present)


All Publications

  • Virtual typing by people with tetraplegia using a self-calibrating intracortical brain-computer interface. Science translational medicine Jarosiewicz, B., Sarma, A. A., Bacher, D., Masse, N. Y., Simeral, J. D., Sorice, B., Oakley, E. M., Blabe, C., Pandarinath, C., Gilja, V., Cash, S. S., Eskandar, E. N., Friehs, G., Henderson, J. M., Shenoy, K. V., Donoghue, J. P., Hochberg, L. R. 2015; 7 (313): 313ra179-?


    Brain-computer interfaces (BCIs) promise to restore independence for people with severe motor disabilities by translating decoded neural activity directly into the control of a computer. However, recorded neural signals are not stationary (that is, can change over time), degrading the quality of decoding. Requiring users to pause what they are doing whenever signals change to perform decoder recalibration routines is time-consuming and impractical for everyday use of BCIs. We demonstrate that signal nonstationarity in an intracortical BCI can be mitigated automatically in software, enabling long periods (hours to days) of self-paced point-and-click typing by people with tetraplegia, without degradation in neural control. Three key innovations were included in our approach: tracking the statistics of the neural activity during self-timed pauses in neural control, velocity bias correction during neural control, and periodically recalibrating the decoder using data acquired during typing by mapping neural activity to movement intentions that are inferred retrospectively based on the user's self-selected targets. These methods, which can be extended to a variety of neurally controlled applications, advance the potential for intracortical BCIs to help restore independent communication and assistive device control for people with paralysis.

    View details for DOI 10.1126/scitranslmed.aac7328

    View details for PubMedID 26560357

  • Clinical translation of a high-performance neural prosthesis. Nature medicine Gilja, V., Pandarinath, C., Blabe, C. H., Nuyujukian, P., Simeral, J. D., Sarma, A. A., Sorice, B. L., Perge, J. A., Jarosiewicz, B., Hochberg, L. R., Shenoy, K. V., Henderson, J. M. 2015; 21 (10): 1142-1145


    Neural prostheses have the potential to improve the quality of life of individuals with paralysis by directly mapping neural activity to limb- and computer-control signals. We translated a neural prosthetic system previously developed in animal model studies for use by two individuals with amyotrophic lateral sclerosis who had intracortical microelectrode arrays placed in motor cortex. Measured more than 1 year after implant, the neural cursor-control system showed the highest published performance achieved by a person to date, more than double that of previous pilot clinical trial participants.

    View details for DOI 10.1038/nm.3953

    View details for PubMedID 26413781

  • Assessment of brain-machine interfaces from the perspective of people with paralysis JOURNAL OF NEURAL ENGINEERING Blabe, C. H., Gilja, V., Chestek, C. A., Shenoy, K. V., Anderson, K. D., Henderson, J. M. 2015; 12 (4)
  • Neural population dynamics in human motor cortex during movements in people with ALS ELIFE Pandarinath, C., Gilja, V., Blabe, C. H., Nuyujukian, P., Sarma, A. A., Sorice, B. L., Eskandar, E. N., Hochberg, L. R., Henderson, J. M., Shenoy, K. V. 2015; 4
  • Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas JOURNAL OF NEURAL ENGINEERING Chestek, C. A., Gilja, V., Blabe, C. H., Foster, B. L., Shenoy, K. V., Parvizi, J., Henderson, J. M. 2013; 10 (2)

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