I am a fully-funded PhD student at School of Artificial Intelligence, CUHK-Shenzhen, advised by Prof. Feng Yin and Prof. Tsung-Hui Chang. Prior to my PhD, I obtained my BSc degree in Statistics (with first-class honors) from CUHK-Shenzhen.
I am interested in building adaptive intelligence for sequential decision-making and optimization: AI systems that learn probabilistic models of unknown environments, choose informative experiments under limited budgets, and revise their hypotheses from feedback. The long-term goal is to build closed-loop AI systems that learn what to model, what to test, and what to discover. See my Research page for details.
Recently, I has become increasingly interested in agentic and autoresearch systems. I built PlugBO, a modular framework that enables an agent to dynamically adapt the optimization configuration on the fly. I also co-developed OpenEvolve, an evolutionary coding agent for discovering and optimizing algorithms, and helped build Kai, an autonomous agent that evolves codebases by finding and patching software vulnerabilities.
I stay connected these emerging fields as a founding committee member of the Institute for AI-driven Discovery of Algorithms (AIDDA), and previously served as a community leader for the AI4Science community at alphaXiv.