About Me

Hello! I’m Xinyi Ni(倪心逸).

I am a Ph.D. candidate in Computer Science at Brandeis University, advised by Prof. Pengyu Hong. My research focuses on Large Language Model (LLM) agents and automatic tool generation from unstructured REST API documentation. I am particularly interested in making AI agents more capable, reliable, and universally applicable across domains.

I earned my B.A. in Financial Mathematics from Soochow University, where I built a strong analytical and quantitative foundation. During that time, I studied as a visiting student at UC Berkeley, taking courses in data structures, algorithms, and machine learning, which sparked my passion for artificial intelligence and intelligent systems.

I am always open to research collaborations and job opportunities. Feel free to reach out with email!

Research Interests

• Large Language Model Agents
• Agent Planning and Reasoning
• Web Agents and Evaluation
• Knowledge Extraction
• AI for Scientific Research