My research is driven by a commitment to enhancing mobility through the human-centered design of wearable robots.
I study human-exoskeleton co-adaptation: how peoples' needs and movement patterns evolve over time, and how assistive devices can learn from and adapt to them as they walk. This work has spanned gait training, motor learning, and interactive feedback design.
My research path since 2016 has been guided by a human-first approach to engineering. I believe that meaningful solutions are created from interdisciplinary understanding and close partnership with the people they are designed to support. This perspective has led me to integrate biomechanics, robotics, data science, neuroscience, and psychology, while gaining experience in human subject research, co-design, and mixed-methods data collection in laboratory and community settings.