CV
Download the full CV as a PDF.
Research Interests
- Model Interpretability
- LLM Safety
Education
- Ph.D., University of California, Santa Cruz, Baskin School of Engineering, 2025 – Present
- Advisor: Prof. Chenguang Wang
- Ph.D., Washington University in St. Louis, McKelvey School of Engineering, 2024 – 2025
- Advisor: Prof. Chenguang Wang
- Master, University of Chinese Academy of Sciences, Aerospace Information Research Institute, 2019 – 2022
- Advisor: Prof. Keming Chen
- Bachelor, Xidian University, School of Aerospace Science and Technology, Tsien Hsue-shen experimental class, 2015 – 2019
- Major: Space Science and Technology
Publications
See the Publications page for the full list.
Open Source Projects
- Key Contributor, rLLM: Reinforcement Learning for Language Agents
- Model Developer, Amazon Nova AI Challenge: Trusted Software Agents
- Developed LLM-based coding agents for secure multi-turn modification and extension of full-stack web applications.
- Focused on reliability, automated testing, and prevention of security vulnerabilities in AI-generated code.
Work Experience
- 2022 – 2023: Question Structuring for Automatic Problem-solving, Xizhi AI Education
- Built question modeling components, including named entity recognition, relation extraction, event extraction, and text classification.
- Improved question structuring performance by about 8% and packaged the algorithms for streamlined application.