CV

Education

• Ph.D. in Informatics, Pennsylvania State University, Aug 2024 – May 2028 (Expected)
  • Research focusing on LLM Security, AI agents and Evaluation
• B.Eng. in Computer Science, Wuhan University, Sep 2020 – Jun 2024

Research Experience

My research focuses on developing secure and reliable LLMs and AI agents. I study both the vulnerabilities and defense / alignment of LLMs, with a particular focus on prompt injection. I also work on evaluating LLMs and AI agents under realistic and comprehensive settings.

• Prompt Injection Attacks and Defenses: I study how prompt injection affects LLM behavior and design efficient and effective defenses against these attacks.
• LLM Alignment and Post-Training: I have hands-on experience with reinforcement learning (RL) finetuning methods such as Direct Preference Optimization (DPO) and Group Relative Policy Optimization (GRPO). My research leverages post-training to further improve LLM robustness without degrading utility.
• Evaluation and Benchmarking: I build systematic evaluation pipelines to assess LLMs and AI agents. I am a co-author of a widely-used benchmark: Open-Prompt-Injection and I’m working on the next-gen evaluation benchmark on trustworthy LLMs and AI agents.

Publications

Open Source Projects

• PoisonedRAG - 200+ GitHub Stars, lead contributor and co-first author
• Open-Prompt-Injection - 300+ GitHub Stars, co-author