We meet for weekly lab meeting on Friday afternoons. We additionally meet monthly for our Control, Learning, and Recovery (CLeaR) meeting, held with the Visuomotor Integration Laboratory led by Dr. John-Ross Rizzo. Please feel free to contact one of the research coordinators for details, or to come discuss your science at a CLeaR meeting.

2017

Mobilis Lab awarded NIH grant: 5 years, $936,000 for Quantitative Rehabilitation research

Dr. Schambra and the Lab received a K02 Independent Scientist Award from the National Institute of Neurological Disorders and Stroke. The project will develop a pair of measurement tools to be used in neurorehabilitation. The tools will enable the precise and feasible measurement of rehabilitation dose and motor recovery after stroke. With support from the NIH, we are excited to perform this valuable work that has the potential to transform rehabilitation practices after stroke.

2018

Congratulations to Elisa Stern and Natasha Pandit for their acceptances to advanced training programs!

Congratulations to our fantastic research coordinators for taking their next big steps in academia. Elisa Stern will be attending a 2-year Masters program in Developmental Neuroscience and Psychopathology at UCL and Yale, and Natasha Pandit will be attending medical school at SUNY Syracuse. We are so proud of you both, and are certain you will do great things in science and medicine!

2019

Mobilis Lab awarded 2 NIH R01s: $4.1 Million for understanding stroke recovery and measuring rehabilitation dose after stroke

Dr. Schambra and the Lab received an R01 Research Project Grant from the National Institute of Neurological Disorders and Stroke (NINDS) investigating the role of an evolutionarily older pathway in motor recovery. The study will help us determine if this pathway should be targeted to improve recovery in stroke survivors. We are eager to undertake this important study to better understand how how the brain recovers after stroke, and which may change how we deliver interventions after stroke.

In collaboration with Dr. Carlos Fernandez-Granda at the NYU Center for Data Science, Dr. Schambra and the Lab received an R01 Research Project Grant from the National Library of Medicine and the National Science Foundation. The study will develop new computational methods to extract motion data features that are robust to noise, patient idiosyncracies, and changes in environmental context. We will apply the approach to quantify rehabilitation after stroke.