DANIEL BROWN

Dr. Daniel Brown is an assistant professor in the Kahlert School of Computing and the Robotics Center at the University of Utah. He completed his postdoc at UC Berkeley in 2023 and he received his Ph.D. in Computer Science from UT Austin in 2020. Dr. Brown’s research focuses on human-centered AI and human-AI alignment. His goal is to develop robots and other AI systems that can safely and efficiently interact with, learn from, teach, and empower human users. His research spans the areas of human-robot interaction, reward and preference learning, human-in-the-loop machine learning, and AI safety, with applications in assistive and medical robotics, personal AI assistants, and autonomous driving.