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About

Spencer Kellis is a leading researcher in neural engineering, specializing in brain–machine interfaces (BMIs) for restoring movement and communication in paralyzed individuals. His work focuses on decoding neural signals from the posterior parietal cortex and cortical grasp circuits to enable intuitive control of prosthetic limbs and assistive devices. Kellis’s most influential paper, “From thought to action: The brain–machine interface in posterior parietal cortex” (2019, 100 citations), demonstrates how translational monkey research paved the way for neuroprosthetics that translate intended movements into action. He also contributed to “Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces” (2014, 85 citations) and “A collaborative BCI approach to autonomous control of a prosthetic limb system” (2014, 49 citations), which introduced hybrid systems combining neural decoding with user collaboration for more dexterous control. His recent work, “Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human” (2021), marks a significant step toward restoring independence for spinal cord injury patients. With over 240 total citations, Kellis’s research is advancing clinically viable BMIs that bridge thought and action, offering hope for enhanced quality of life in severe paralysis.