Daniel Brown
Assistant Professor at University of Utah
Salt Lake City, Utah, United States
Summary
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Senior🎓
Top SchoolDaniel Brown is an assistant professor and robotics researcher with a decade of experience spanning academia, government labs, and industry. His work focuses on robot learning from demonstration, human-robot interaction, imitation learning, and multi-agent/swarm planning, informed by postdoctoral training at UC Berkeley and a PhD from UT Austin. He has contributed to both foundational research and applied systems—from swarm robotics at the Air Force Research Laboratory to human-swarm interaction studies and safe inverse reinforcement learning in graduate research. Based in Salt Lake City, he blends rigorous theoretical grounding with hands-on experimentation and real-world deployment experience. Colleagues describe him as a researcher who bridges human-centered design and algorithmic control, often seeking practical safety and interpretability in autonomous systems. Beyond publications, his career shows a pattern of moving ideas from laboratory prototypes toward trustworthy, deployable robotic behavior.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Texas at AustinMasters, Computer Science, Masters, Computer Science at Brigham Young University
Github Skills (13)
rex10
imitation-learning6
pytorch6
deep-learning6
machine-learning6
tensorflow2
reinforcement-learning2
deep-reinforcement-learning2
robot1
irc1
persistent1
playing1
youtube1
Programming languages (2)
Github contributions (5)
dsbrown1331/broil
Oct 2020 - Apr 2022
Contributions:18 commits, 14 pushes, 1 branch in 1 year 5 months
hiwonjoon/ICML2019-TREX
May 2019 - Apr 2021
Contributions:31 commits, 2 PRs, 30 pushes in 1 year 11 months
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