Lifestyle interventions such as exercise are the cornerstones of managing chronic diseases (particularly diabetes), however, there is limited evidence explaining why exercise works in some cases but not others. Mechanistic clinical trials, which assess whether and how an exercise intervention works, are urgently needed, but are herculean undertakings because recruitment, retention and fidelity are resource-intensive.
We recently completed several studies showing that joint movements estimated with markerless motion capture are comparable to traditional marker-based approaches in clinical and sport specific tasks and yoga.
We have also integrated markerless motion capture with novel wireless biosignal acquisition such as high density electromyography and muscle network connectivity analysis.
I lead CCL-IGNITE, a collaboration between NYU Steinhardt faculty in rehabilitation health professions research (including physical therapy, occupational therapy, communicative sciences and disorders, vision research, limb loss, music therapy, drama therapy and art therapy) and education research and College and Career Lab (CCL). CCL IGNITE offers a research pipeline for middle school and high school students, and creates novel science education resources based on NYU Steinhardt’s state-of-the-art rehabilitation research.
Dissertation: Proximal and Distal Impairments in Runners With Achilles Tendinopathy Compared to Matched Controls
Current position: Post doctoral fellow, Kevin P. Granata Biomechanics Lab at Virginia Tech
Dissertation: The Impact of Blood-Flow Restriction Resistance Training on Pain Modulation in Pain-Free Individuals
Current position: Assistant Professor of Physical Therapy, University of Hartford
Current Position: Assistant Professor of Rehabilitation and Movement Sciences, Rutgers School of Health Professions