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layout: about title: About permalink: / subtitle:
profile: align: right image: bio.jpeg image_circular: false # crops the image to make it circular more_info:
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page — 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 scientific discovery and engineering design: 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.
555 your office number
123 your address street
Your City, State 12345
layout: about title: About permalink: / subtitle:
profile: align: right image: bio.jpeg image_circular: false # crops the image to make it circular more_info:
news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page — 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 scientific discovery and engineering design: 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.