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About

Laura Pellegrino is a biomedical engineer and rehabilitation scientist whose research sits at the intersection of neurological disease, robotic assessment, and motor rehabilitation. Her work focuses primarily on multiple sclerosis (MS) and gait rehabilitation, combining advanced robotics, electromyography (EMG), and neuromechanical modeling to quantify and address motor impairments. Pellegrino's most influential contribution — "Evaluating upper limb impairments in multiple sclerosis by exposure to different mechanical environments" (2018, 91 citations) — established a rigorous robot-based framework for detecting subtle upper limb deficits in MS patients, even before clinical symptoms emerge, as further demonstrated in her 2022 follow-up study on asymptomatic subjects. Her work on exoskeleton-assisted gait rehabilitation (2019, 39 citations) has provided critical insights into how mechanical device structure and walking aids influence muscle activation patterns, informing smarter wearable design. Beyond assessment, Pellegrino has pioneered adaptive, personalized rehabilitation strategies, exploring EMG-driven body-machine interfaces and muscle synergy training to help patients relearn coordinated movement. Collectively, her research advances both our understanding of neurodegenerative motor dysfunction and the development of intelligent assistive technologies, making her work highly relevant to clinicians, engineers, and rehabilitation scientists alike.