Undergraduate Researcher @ The Chinese University of Hong Kong, Shenzhen
Interested in the synergy between Operations Research (optimization) and Artificial Intelligence, with a focus on Foundation Models, LLM Post-training, Reinforcement Learning, and Agentic Systems.
I am an undergraduate researcher at The Chinese University of Hong Kong, Shenzhen (CUHK-SZ).
My research lies at the intersection of autoresearch and agentic AI, with a particular interest in understanding and improving the post-training of large language models.
Currently, I am investigating the mechanisms of LLM post-training through parameter-space analysis and exploring algorithmic approaches for building reliable AI agents.
In the long term, I hope to contribute to the development of trustworthy foundation models and autonomous systems capable of robust decision-making under uncertainty.
- Foundation Models
AI Systems & Foundation Models
- LLM post-training & alignment
- Reliable LLM agents & multi-agent systems
- Mechanistic interpretability of foundation models
- Automated research
"Curiosity drives questions. Evidence drives understanding."