Christian Done

Christian Done is an undergraduate student in Artificial Intelligence at Idaho State University. His work focuses on applying machine learning to physical and engineered systems: he is a contributor to the ARAI project, which uses reinforcement learning and augmented reality to improve prosthetic hand control for sub-radial amputees, and is the author of ongoing projects on physics-informed neural networks for jet engine compressors and adaptive damping in the PageRank algorithm.

He is a co-author of a peer-reviewed publication on reinforcement learning–driven prosthetic actuation, and documents his engineering projects start-to-finish on his YouTube channel, Unreasonable Precision. He is currently open to research opportunities and collaborations.