David Chan, Ph.D.
NRC Postdoctoral Research Associate
U.S. Naval Research Laboratory
×
About Me
I am a NRC Postdoctoral Research Associate in the Navy Center for Applied Research in Artificial Intelligence at the U.S. Naval Research Laboratory in Washington, D.C. under the supervision of Dr. Laura Hiatt. My research focus is on automated planning and reinforcement learning.
I received my Ph.D. degree in Computer Science from the University of Maryland, College Park in 2026, advised by Prof. Dana Nau. I earned my M.S. degree in Computer Science from the University of Maryland, College Park in 2023, and my B.S. degree in Mathematics and Computer Science from the University of Toronto in 2020.
News
| 08.2026 | Joined U.S. Naval Research Laboratory as NRC Postdoctoral Research Associate |
| 06.2026 | Presented "OOMPA 2025.08: A First Cut of the Toolkit for Object-Oriented Modeling for Planning and Acting" at KEPS'26, Dublin, Ireland |
| 06.2026 | Presented "Probabilistic Hierarchical Goal Network Planning with UCT" at HPlan'26, Dublin, Ireland |
| 03.2026 | Successfully defended my Ph.D. dissertation |
| 01.2026 | Presented "Probabilistic Hierarchical Goal Network Planning with UCT" at AAAI'26, Singapore |
| 11.2025 | Presented "Hierarchical Goal Networks for Probabilistic Planning: Preliminary Results" at HPlan'25, Melbourne, Australia |
| 11.2025 | Presented "Hierarchical Goal Decomposition for Probabilistic Planning" at the ICAPS'25 Doctoral Consortium, Melbourne, Australia |
| 10.2025 | Presented "Landmark-assisted Monte Carlo Planning" at ECAI'25, Bologna, Italy Also presented at ICAPS'25 and HDSIP'25 |
| 02.2025 | Passed Ph.D. candidacy exam |
| 01.2025 | Published journal article "The Impact of Strategic Communication in Coopetitive Multiagent Settings" in IEEE Transactions on Computational Social Systems |
| 11.2024 | "Lightweight Probabilistic Planning with Macro Actions" presented by Evan Conway at AAAI Fall Symposium'24, Arlington, Virginia |
| 06.2023 | Joined U.S. Naval Research Lab as research intern |
| 05.2023 | Earned M.S. degree from University of Maryland, College Park |
| 01.2023 | "Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks" presented by Tahseen Rabbani at SLowDNN'23, Abu Dhabi, UAE |
| 10.2022 | Joined Bloomberg L.P. Chief Technology Office as consultant |
| 05.2022 | Returned to Bloomberg L.P. Chief Technology Office as intern |
| 06.2021 | Joined Bloomberg L.P. Chief Technology Office as intern |
| 09.2020 | Joined University of Maryland, College Park Department of Computer Science as Ph.D. student |
| 05.2020 | Earned B.S. degree from University of Toronto |