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About

Louiza Chan’s research lies at the transformative intersection of neuroscience and assistive technology, with a primary focus on brain-machine interfaces (BMIs) for restoring mobility in individuals with paralysis. Her most-cited work, “Independent Mobility Achieved through a Wireless Brain-Machine Interface” (2016, 55 citations), represents a landmark contribution to the field. In this study, Chan and her team demonstrated that two macaques could wirelessly control a robotic platform to move independently, effectively bypassing their physical limitations. This proof-of-concept not only showcased the feasibility of wireless neural control for mobility but also laid critical groundwork for developing practical, non-invasive assistive devices for humans with tetraplegia. Chan’s work is notable for its emphasis on real-world application—moving beyond static cursor control to dynamic, self-directed movement. Her achievements highlight a deep commitment to engineering solutions that restore autonomy, making her a rising voice in neuroprosthetics. With her innovative approach and growing citation impact, Chan is shaping a future where neural signals can directly translate into physical freedom.