Resume
Academic Achievements
- Multiple papers accepted and published in key conferences such as AAAI-26, ECAI-25, NeurIPS-24, etc.; developed the WLPlan library, implementing WL features for PDDL planning.
Research Experience
- Presented at multiple international conferences and workshops such as ICAPS-24, Aachen RLeap Symposium, etc.; participated in various research projects, including a research internship at Vector Institute.
Education
- Started PhD in October 2023.
Background
- Research interests: theoretical foundations and algorithms for automated planning, with a focus on generalized automated planning. Areas of expertise include numeric planning, multi-objective planning, stochastic planning, non-deterministic planning, and hierarchical planning. Additionally, research in large language models, graph neural networks, foundation models, graph kernels, and their applications.
Miscellany
- Personal interests include fitness (e.g., achieving a 140kg bench press).