is a Canada Research Chair in Machine Intelligence for Rehabilitation and principal investigator with the Alberta Machine Intelligence Institute (Amii) and the Reinforcement Learning and Artificial Intelligence Laboratory (RLAI). Dr. Pilarski’s research interests include reinforcement learning, real-time machine learning, human-machine interaction, rehabilitation technology, and assistive robotics. He leads an interdisciplinary initiative focused on creating intelligent artificial limbs to restore and extend abilities for people with amputations. As part of this research, Dr. Pilarski explores new 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. He 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 diagnostic devices.
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