I am recruiting PhD students to begin in Fall 2027 and welcome inquiries from Master’s students year-round. Projects in the lab span biomechanics, motor learning, and the design and control of assistive robotic devices. Students joining now will contribute to a growing research program and help shape new directions as the lab develops.
Relevant backgrounds may include biomedical, mechanical, or robotics engineering; rehabilitation science; kinesiology; and computational neuroscience. Prior experience with hardware and control systems is especially relevant to device-focused work, while simulation and machine learning are assets for modeling-focused projects.
Research in the lab frequently involves quantitative analysis, experiments with human participants, and collaboration across disciplines. I look for students who are prepared to acquire the skills and methods their research requires, including those beyond their prior experience.
Mentorship is tailored to each student's goals, experience, and stage of training, with students taking increasing ownership of their research along the way: from refining research questions, building technical skills, interpreting what results can and cannot support, and speaking about their work across audiences.
If you’re interested in joining the lab, please send a note describing your background and interests.
Email about joining the labUnderstanding how people move and developing technologies that respond to people’s mobility needs is a collaborative endeavor. I welcome collaborators who contribute to different parts of this work, including:
Clinical expertise: Physical therapists, orthotists and prosthetists, and other clinicians working with aging adults and people experiencing mobility impairments.
Disability expertise: Disabled people, assistive technology users, disability justice scholars, and advocates whose knowledge can shape the questions we ask and the directions we pursue.
Design expertise: Product and interaction designers and human factors researchers focused on how devices are understood and incorporated into daily life.
Engineering & computational expertise: Researchers in biomechanics, robotics, control systems, simulation, machine learning, and related areas interested in understanding human movement or developing adaptive assistive technologies.
If you work on related questions or see a connection with your own work, I would be glad to hear from you.
Email about collaborating