Lauren Winterbottom
Columbia University, Columbia University Irving Medical Center
Papers
11
Total Citations
47
H-Index
4
About
Lauren Winterbottom is a rising leader in rehabilitative and assistive robotics, whose work focuses on restoring hand and gait function for individuals with stroke and spinal cord injury. Her research centers on developing intuitive, user-driven control systems for wearable robotic orthoses, with key contributions in thumb stabilization, intent inferral, and adaptive machine learning. Winterbottom’s most cited work, “Thumb Stabilization and Assistance in a Robotic Hand Orthosis for Post-Stroke Hemiparesis” (11 citations), introduces a dual-cable method to enhance hand pose formation. She has also advanced gait rehabilitation with the overground robotic trainer mTPAD, which improves symmetry and weight-bearing in stroke survivors (8 citations). Her innovative use of meta-learning (MetaEMG) and synthetic data generation (ChatEMG) addresses the critical challenge of limited training data in clinical robotics, enabling faster adaptation and robust control. With over 40 citations across her publications, Winterbottom’s work bridges engineering and clinical practice—her 2024 study on clinician perceptions ensures her devices meet real-world needs. Her achievements include pioneering volitional control methods that account for post-stroke muscle stiffness, marking her as a key figure in the next generation of neurorehabilitation technology.
Research Focus
Key Achievements
Top Papers
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- 10Fabric Sensing of Intrinsic Hand Muscle Activity1 citations · 2025