Whitney S. Griggs

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About

Whitney S. Griggs is a pioneering neuroscience and biomedical engineering researcher whose work sits at the cutting edge of brain-machine interface (BMI) technology, with a particular focus on functional ultrasound (fUS) neuroimaging as a novel modality for neural decoding. Griggs has made substantial contributions to developing closed-loop ultrasonic brain-machine interfaces capable of translating motor intentions into actionable commands, offering a compelling alternative to existing BMI approaches by balancing invasiveness, spatial coverage, and spatiotemporal resolution in ways previously unachieved. His most celebrated work, "Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine Interface" (2023), has garnered 51 citations and represents a landmark demonstration that fUS neuroimaging can reliably decode movement intentions in real time — a finding with profound implications for restoring function to individuals living with chronic paralysis. His earlier foundational study on single-trial decoding (2020) further established the feasibility of this approach. Collectively, Griggs' research addresses one of the most urgent challenges in neurotechnology: creating high-performance, minimally invasive interfaces that can meaningfully improve quality of life for paralyzed patients, positioning him as an important emerging voice in next-generation neural engineering.