Published several papers, including: 'When 'Correct' Is Not Safe: Can We Trust Functionally Correct Patches Generated by Code Agents?', 'MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning', and 'Can Long-Context Language Models Solve Repository-Level Code Generation?'.
Research Experience
Currently a Research Assistant at Carnegie Mellon University, advised by Prof. Beidi Chen, focusing on the security of AI agents; collaborating with Prof. Huaxiu Yao on multimodal large language models; and working with Prof. Graham Neubig on code agents through the OpenHands project.
Education
Master's degree in Artificial Intelligence Engineering from Carnegie Mellon University, advised by Prof. Daniel Fried, with a focus on Code Generation and Retrieval-Augmented Generation (RAG).
Background
Research interests include enhancing the multimodal reasoning capabilities of AI agents in complex environments, optimizing the efficiency of multi-agent collaboration, and ensuring the safety of their behavior. Current research focuses on the security of AI agents, multimodal large language models, and code agents.
Miscellany
Hobbies include playing the piano, violin, and guqin, Latin dancing, hiking, rock climbing, photography, Chinese calligraphy, and seal carving. Core philosophy is being a dedicated foodie and a champion of the perfect nap.