Collaborative projects (CPs) drive the development of our computational models and tools. They help us identify technological needs within the bioengineering, biomechanical modeling, data science, mHealth, and rehabilitation research communities. We work with them to define the specifications for tools to address those needs, and they serve as beta testers to refine and harden the tools we develop and share through extensive two-way collaboration. 

Our current CPs are:

  • Estimating Bone Loading via Wearable Sensors in Children with Cerebral Palsy
    • PI: Tishya Wren, Children’s Hospital Los Angeles
  • Optimization of Exoskeleton Assistance Using Wearable Sensors
    • PI: Steve Collins, Stanford University
  • Patterns of Asymmetry and Energy Cost Generated from Predictive Simulations of Hemiparetic Gait
    • PI: James Finley, University of Southern California
  • Personalized Assessment and Treatment of Patellar Instability Enabled Through Machine Learning
    • PIs: Shital Parikh, Beth Shubin Stein, University of Cincinnati
  • Measuring Knee Adduction Moment Pre and Post Intervention using OpenCap
    • PI: Constance Chu, Stanford University
  • Digital Biomarkers of Post-traumatic Osteoarthritis: Toward Precision Rehabilitation
    • PI: Eni Halilaj, Carnegie Mellon University

Graduated CPs:

  • Personalized Gait Retraining for Individuals with Osteoarthritis
    • PI: Julie Kolesar, VA Palo Alto Health Care System
  • Prediction of Freezing of Gait from Neural Recordings and IMU Data
    • PI: Helen Bronte-Stewart, Stanford University

Have a project you think would be a great CP? Please fill out this Google form or contact us at