Jieliang Luo is a researcher and media artists working with reinforcement learning, robotics, and visualization. Currently, he is a Ph.D. candidate and lecturer in Media Arts & Technology at UC Santa Barbara, where he teaches Reinforcement Learning, Data Visualization, and Intelligent Machine Vision. His research focuses on bridging reinforcement learning and creativity by exploring potential simulated and physical platforms for artists, designers, and architects to have easy access to reinforcement learning. He also has worked for Autodesk Robotics Lab as a robotic and machine learning researcher since June, 2018.