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About

Mikhail G. Shapiro is a pioneering researcher at the intersection of neuroscience, medical imaging, and neural engineering, with a particular focus on brain-machine interfaces (BMIs) and ultrasonic neuroimaging technologies. His most influential work centers on harnessing functional ultrasound (fUS) neuroimaging as a novel modality for decoding neural signals, offering a compelling alternative to existing BMI approaches by balancing invasiveness, spatial coverage, and spatiotemporal resolution. His landmark 2023 paper, "Decoding Motor Plans Using a Closed-Loop Ultrasonic Brain–Machine Interface," has already garnered 51 citations, demonstrating the significant community interest in this approach for restoring function to individuals living with paralysis. Shapiro's research extends beyond neural interfaces into precision surgical navigation, where he has explored magnetic-field gradient-based localization achieving 100-micron resolution, and into ultra-low-power CMOS magnetic sensor design. Together, these contributions reflect a remarkably broad engineering vision — uniting neurotechnology, medical imaging, and miniaturized sensing systems. His work holds profound clinical promise, particularly for paralyzed patients seeking greater autonomy, and positions him as an emerging leader in next-generation neural and biomedical interface technologies.