Biomechanics and human-machine interactions with applications to the advancement of lower limb amputee technologies. This includes the design of new amputee devices as well as sensing and control schemes to facilitate two-way communication between the user and the prosthetic device. Control employs the use of body-worn sensors such as inertial measurement units and electromyography as well as the development of machine learning techniques to translate that motion information into identifiable control signals. In addition, I have interests related to running and human performance evaluation and improvement.
