Dan is a second-year PhD student in computer science. He received a Bachelor of Science degree in aeronautical engineering from the U.S. Naval Academy and a master's degree in international relations from American Military University. Dan spent nine years in the Marine Corps as a helicopter pilot and forward air controller. After leaving active duty, he spent four years as a systems engineer working on the Ground Control Station for Predator/Reaper unmanned aircraft. Finally, he managed contractor aviation operations overseas for the U.S. Army before returning to full-time study at CU Boulder in 2016. Dan is interested in autonomous planning/execution, artificial intelligence and human-robot teams. Advised by Dan Szafir, currently he is investigating human-robot interaction using natural language. He lives in Denver with his wife, Anne, and baby girl, Merritt.
- Daniel Prendergast and Daniel Szafir. 2018. Improving Object Disambiguation from Natural Language using Empirical Models. In Proceedings of the 2018 on International Conference on Multimodal Interaction (ICMI '18). ACM, New York, NY, USA, 477-485. DOI: https://doi.org/10.1145/3242969.3243025 (Boulder, Colorado — Oct. 16 - 20, 2018).