About
I am affiliated with Lingnan University and am a PhD student at New York University. My research studies how large language model agents reason, communicate, and make decisions in interactive settings, with games as the testbed. Recent work asks whether the form of a message, such as its linguistic range or politeness, changes how LLM agents trust and act on it, and how to evaluate LLM agents with procedurally generated games.
I collaborate closely with Julian Togelius's group at NYU and Jialin Liu's game AI group, working at the intersection of game AI, procedural content generation, reinforcement learning, and AI ethics. I earned my M.A. in Interactive Media Arts and my B.S. in Integrated Digital Media from NYU, and my background in interaction design still shapes how I build and study AI systems.
News
- Project page for Language as Trait, Politeness as Strategy is online.
- Co-organizing the Reinforcement Learning and Video Games workshop at RLC 2026.
- Three papers at IEEE CoG 2026: LURK Werewolf, PuzzleJAX and Stack More Levels.
- Mortar: Evolving Mechanics for Automatic Game Design accepted at GECCO 2026.
- Measuring Diversity of Game Scenarios and Fun as Moderate Divergence published in IEEE Transactions on Games.
Education
- Ph.D., Computer ScienceNew York University2024 – present
- M.A., Interactive Media ArtsNew York University2021 – 2022
- B.S., Integrated Digital MediaNew York University · Minor in Mathematics2019 – 2021
- Coursework, Environmental EngineeringClarkson University2016 – 2018
Service & Teaching
- OrganizerReinforcement Learning and Video Games Workshop, RLC 20262026
- Volunteer8th International Summer School on AI and Games, Leiden University2026
- Teaching Assistant, Software EngineeringNew York University2025 – present
- Research AssistantSouthern University of Science and Technology2023 – 2024
- E-textile Research AssistantNYU Shanghai2022
- Teaching Assistant, Differential EquationsClarkson University2018
Publications
* equal contribution
Selected Projects
