
Leonard Li (Shang'ao Li)
Building reasoning systems that integrate symbolic methods with neural learning
Senior Undergraduate
Computer Science, Nanjing University
Email: leonardlsa@163.com
GitHub: @LeonardNJU
Research Interests
I work on enhancing reasoning capabilities in AI systems through principled integration of symbolic and neural methods. My research explores how formal reasoning, neuro-symbolic architectures, and interactive verification can improve reliability and interpretability in language models and autonomous agents.
Keywords: Neuro-Symbolic AI · LLM Reasoning · Reinforcement Learning · Formal Verification · Interactive Agents
Education
B.Sc. in Computer Science, Nanjing University
Sept. 2022 - June 2026 (Expected) · GPA: 4.60/5.00 (Rank: 3/25)
Research Experience
- Ludwig Maximilian University of Munich · Nov 2025 - Present
Research Intern, Advisor: Dr. Yao Zhang - KRistal Group, Nanjing University · Oct 2025 - Present
Research Intern, Advisor: Prof. YiZheng Zhao - Independent Research · Jul 2025 - Present
Research Intern, Advisor: Dr. Zhen Han - ScaleML Lab, UIUC · Apr - Jun 2025
Research Intern, Advisor: Prof. Tong Zhang - Huawei 2012 Labs · Jul - Sept 2025
Research Intern, Supervisor: JianFeng Gui - QUEST Lab, NC State University · Jul - Nov 2024
Research Intern, Advisor: Prof. Yuan Liu
Selected Honors
- National Scholarship (Top 0.2% nationwide), Ministry of Education of China, 2025
- First Prize (National Champion), HITCTF 2025 Cybersecurity Competition
- Outstanding Student Model, Nanjing University, 2023-2024