Daniel S Brown

Daniel S. Brown is an Assistant Professor at the University of Utah, affiliated with the John and Marcia Price College of Engineering. His research focuses on reinforcement learning, human-computer interaction, robot learning, and safe artificial intelligence through human preference modeling. After completing his academic training at The University of Texas at Austin, he accumulated extensive experience in both academia and industry. Professor Brown's research has been published in multiple papers and widely cited. He is dedicated to reducing uncertainty in AI systems through innovative algorithms and practices, while enhancing their performance and safety.

• 2020–Present·University of Utah·Assistant Professor
  • Research focus on reinforcement learning, safe AI, and human preference modeling.
• Previous Timeframe Unknown·Other Research Institutions·Researcher
  • Conducted academic research in artificial intelligence and related fields.

• 2011–2020·The University of Texas at Austin·PhD
  • Research focus on reinforcement learning and human-computer interaction.