Xuebin Peng is an innovative Assistant Professor in the School of Computing Science at SFU and a part-time Research Scientist at NVIDIA. With a PhD from UC Berkeley and MSc and BSc degrees from UBC, he specializes in leveraging machine learning to develop motor control models. His groundbreaking work enables both simulated agents and real-world robots to replicate the agile and versatile motor skills seen in humans and other animals, pushing the boundaries of robotics and artificial intelligence.