Jennifer Leestma, Ph.D.
Affiliations: | 2024- | School of Engineering and Applied Sciences | Harvard University, Cambridge, MA, United States |
Area:
wearable robotics, neural interfaces, exoskeletons, prostheses, machine learning, biomechanics, balance, stabilityWebsite:
https://jenniferleestma.com/Google:
"Jennifer Leestma"Parents
Sign in to add mentor| Peter G. Adamczyk | research assistant | 2017-2019 | UW Madison |
| Gregory S. Sawicki | grad student | 2019-2024 | Georgia Tech |
| Aaron Young | grad student | 2019-2024 | Georgia Tech |
| Shriya Srinivasan | post-doc | 2024- | Harvard |
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Publications
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| Davenport FR, Leestma JK, Staten A, et al. (2025) Electromyography-Informed Estimates of Joint Contact Forces Within the Lower Back and Knee Joints During a Diverse Set of Industry-Relevant Manual Lifting Tasks. Journal of Applied Biomechanics. 1-10 |
| Leestma JK, Mathur S, Anderton MD, et al. (2024) Dynamic Duo: Design and Validation of an Autonomous Frontal and Sagittal Actuating Hip Exoskeleton for Balance Modulation During Perturbed Locomotion. Ieee Robotics and Automation Letters. 9: 3995-4002 |
| Leestma JK, Smith CR, Sawicki GS, et al. (2024) A Data-Driven Approach to Estimate Human Center of Mass State During Perturbed Locomotion Using Simulated Wearable Sensors. Annals of Biomedical Engineering |
| Leestma JK, Golyski PR, Smith CR, et al. (2023) Linking whole-body angular momentum and step placement during perturbed walking. The Journal of Experimental Biology |
| Golyski PR, Vazquez E, Leestma JK, et al. (2021) Onset timing of treadmill belt perturbations influences stability during walking. Journal of Biomechanics. 130: 110800 |
| Leestma JK, Fehr KH, Adamczyk PG. (2021) Adapting Semi-Active Prostheses to Real-World Movements: Sensing and Controlling the Dynamic Mean Ankle Moment Arm with a Variable-Stiffness Foot on Ramps and Stairs. Sensors (Basel, Switzerland). 21 |