I am Yiming Xiong (熊一鸣), a Data Science Master's student at the University of British Columbia. Building on my professional experience as a Machine Learning Engineer at DataStory, I am now transitioning toward deeper research.
My interests lie in how knowledge, architectures, and social structures can naturally be explored, balanced, and optimized within self-contained, ever-evolving agentic systems, exploring how agents can discover and optimize their own architectures and rules without human intervention.
Core contributor to deep research agent systems and agentic reinforcement learning research, with a focus on multi-agent reasoning, training strategies, and reward design. Also provided algorithmic support for business-driven AI applications across teams, bridging research insights with practical deployment.
