Summary
Siru Ouyang is a PhD student researcher at UIUC specializing in large language models, agentic systems, and enabling complex reasoning capabilities. With seven years of experience across industry research internships at Microsoft, Tencent Americas, and now Google, she has contributed to work published at EMNLP and ICLR on topics like user-LLM interactions, speculative decoding, and agent repositories. Her current Google work focuses on memory mechanisms for self-evolving agents, building on prior systems such as RepoGraph for software-engineering agents. Trained at Shanghai Jiao Tong University and now pursuing a doctorate in Computer Science, she bridges rigorous academic methods with practical system-building in production-adjacent settings. Notably, her research trajectory emphasizes not just model performance but structured agent behavior and long-term adaptation, hinting at applied architectures for persistent, memory-driven LLM agents.
7 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Shanghai Jiao Tong University