The goal of the lab is to further our understanding of the volitional control of movement and contribute to the existing body of fall prevention research in older adults. Using interdisciplinary approaches, our lab examines the underlying behavioral and neural mechanisms underlying mobility dysfunction in older adults with neurological disorders, to identify prospective behavioral and neural biomarkers of neurological disorders and motor impairment.

Our research group has leveraged advances in machine learning, signal processing, and wearable technology to further our understanding of objective measures of mental health and physical health changes that can serve as markers of efficacy in future interventions, which has led to more than 25 peer-reviewed publications, 12 full length conference proceedings in international conferences, 2 book chapters, 4 invention disclosures, and partnerships with 4 private industry partners.

Collaborative work has been externally funded by the National Institutes of Health, National Institute on Aging and National Institute of Neurological Disorders and Stroke, and National Multiple Sclerosis Society and internally has contributed to a strategic research initiative focused on establishing a Center for Wearable Intelligent Technologies at the Univesity of Illinois at Urbana-Champaign.