Robotics, biomedical pattern analysis, human-machine interfaces, real-time machine learning, adaptive rehabilitation technology, reinforcement learning for real-world environments; e.g. reinforcement learning in autonomous robotics, rehabilitation, and prosthetics.
Patrick leads the Amii Adaptive Prosthetics Program—an interdisciplinary initiative focused on creating intelligent artificial limbs to restore and extend abilities for people with amputations. As part of this research, Patrick explores new real-time machine learning techniques for sensorimotor control and prediction, including methods for human-device interaction and communication, long-term control adaptation, and patient-specific device optimization. Patrick has also pioneered techniques for rapid cancer and pathogen screening through work on biomedical pattern recognition, robotic micro-manipulation of medical samples, and hand-held microfluidic diagnostic devices.