Goal and VIsion

Our goal is to develop predictive models to guide individual-specific clinical decision-making for improving mobility function. Our vision is that these models could enable clinicians and other rehabilitation scientists to better prescribe rehabilitation interventions, develop assistive devices, tune patient-specific control of robotic devices such as exoskeletons, and more. 

Current Research Areas

Much of our current research falls into two broad categories:

1. Identifying which biomechanical and/or physiological signals are important to include as inputs to these models and how this differs across patient populations. 
   • Graduate Students: Grant Maddox, Kaitlyn Downer
   • Past and Current Funding: NIH R15AG068935, NIH R21AG067388, NSF 2245650
2. Developing models that can predict improvement with rehabilitation, devices, etc. 
   • Graduate Students: Mohammad Rahimi-Goloujeh, Kaitlyn Downer
   • Past and Current Funding: NSF 2245650, NSF CAREER 2339331

Other ongoing research is related to:

• Mechatronics for human-device interaction to test out hypotheses on human movement and novel rehabilitation strategies
• Monitoring balance “in-the-wild” via wearable sensors
• Collaboration, outreach, and education with patients and clinicians to ensure our work has clinical applications

Research Techniques