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. 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	Presenting "Probabilistic Hierarchical Goal Network Planning with UCT" at AAAI'26, Singapore
11.2025	Published "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	Published "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
06.2023	Joined U.S. Naval Research Lab as research intern
05.2023	Earned M.S. degree from University of Maryland, College Park
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