- Papers accepted at NLDL 2026, ICSE 2025, AAAI 2025, and other important conferences
- Received Best Reviewer Award at AISTATS 2025
- Internship work accepted to the Trustworthy Agentic AI Workshop
Research Experience
- Applied Scientist Intern at AWS
- Involved in multiple research projects, including code analysis tool development, automated AI guardrail creation, etc.
- Published research findings in several international conferences and workshops
Education
- Ph.D. in Computer Science, University of Southern California, advised by Prof. Chao Wang
- B.S. in Computer Science, New York University Abu Dhabi, worked under Prof. Christina Pöpper
Background
- Research Interests: Intersection of artificial intelligence (AI) and software engineering (SE)
- Professional Field: Evaluating and verifying AI systems for reliability and fairness; Leveraging AI and large language models to improve program analysis and verification
- Brief Introduction: A Ph.D. candidate in Computer Science at the University of Southern California, focusing on integrating advanced AI techniques with classic SE methods such as SMT solving, symbolic execution, abstract interpretation, and logic programming.
Miscellany
- Attended multiple international academic conferences and technical workshops