About

I am an undergraduate at the Hong Kong University of Science and Technology (Guangzhou), majoring in Artificial Intelligence.

I work on multi-agent systems, and on methods that let a model's output be checked against something outside the model.

Interests. Multi-agent systems: coordination of coding and research agents, with human input only at decision points. Verifiable generation: claims settled against market data, statements anchored to source text, evaluations run on a fixed protocol. Generative-engine evaluation: whether and how an entity appears in model answers. Capability engineering: how a person or an organization acquires and retains the ability to use AI (paper in progress). Quantitative finance: research that can be backtested or settled. Smart contracts and DeFi: event-contract settlement, blockchain practice, and protocol design informed by DEX and related whitepapers. Systems science: organizations, intelligent systems, and markets as one class of problem. Cross-cutting engineering: research questions and production constraints in the same loop.

In high school I completed a research project under Prof. Lu Yu at Beijing Normal University, on multi-agent simulation of campus hygiene arbitration. It was written up as a paper and later used by the arbitration group. I also co-founded Beijing Kuaizengji Technology and serve as CEO.

I am currently an AI trainee at Juzi Interactive. Email is qguo786@connect.hkust-gz.edu.cn.