David Chan

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Ph.D. Candidate
University of Maryland, College Park

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About Me

I am a Ph.D. candidate in the Department of Computer Science at the University of Maryland, College Park, advised by Prof. Dana Nau. I am doing research 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. "Mak" Roberts and Dr. Laura Hiatt. My research focus is on automated planning and reinforcement learning.

I earned a M.S. degree in Computer Science from the University of Maryland, College Park in 2023, and a B.S. degree in Mathematics and Computer Science from the University of Toronto in 2020.

News

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