Data Science Intern
May 2025 – Present
The Rehabilitation Robotics Lab
At the Rehabilitation Robotics Lab, I analyzed large-scale biomechanics and motion-sensor data. My work involved cleaning and processing motion data, extracting key kinematic features, and performing statistical analysis to inform XR and digital health research projects.
I developed a rehabilitation outcome prediction model that achieved 85% accuracy, demonstrating that our kinetisense 3D motion capture system can reliably predict outcomes comparable to the Force Decks gold standard while offering a more accessible and scalable solution for clinical and research applications.