About me

I am a third-year undergraduate at Fudan University, majoring in Statistics. My earlier research was at the intersection of statistics and machine learning, where I was interested in developing new methodologies for scientific discovery by combining statistical theory with machine learning. More recently, my interests have shifted toward machine learning, reinforcement learning, and the theory of foundation models, with a particular focus on LLM reinforcement learning and agentic systems. Broadly, I am interested in how models can learn to reason, adapt, and improve through interaction and feedback. In the long run, I hope to contribute to the development of general-purpose reasoning models capable of open-ended self-improvement.

I am currently seeking for a PhD position in Fall 2027. Please feel free to send me an email if you are interested in my research and background.

📰 News

• Feb, 2026 Our new preprint on the coverage-length metric of conformal prediction is now available on arXiv.
• Dec, 2025 I am very honored to receive the Zheng Zukang Scholarship!
• Oct, 2025 I am very honored to receive the National Scholarship!
• Sep, 2025 Our new preprint on the interpretability of conformal prediction is now available on arXiv.
• Jun, 2025 One paper was accepted by ICML 2025 Workshop!
• Dec, 2024 I’m going to visit Yang Yuan @ THU IIIS!
• Apr, 2024 Start my research supervised by Jiaye Teng!

🎓 Education

• BSc in Statistics (Zhuoyan Honor Program), Fudan University, 2027 (Expected)

📝 Research experience

• Jan, 2026 - Present: Research Intern, Supervised by Chi Jin and Chengshuai Shi @ Princeton University, PLI
• Dec 2025 - Present: Research Intern, Supervised by Jingzhao Zhang @ THU IIIS
• Jul 2025 - Oct 2025: Research Intern @ Big AI Dream Lab, Shanghai AI Lab. Supervised by Jie Fu
• Apr 2024 - Present: Research Assistant, Supervised by Prof. Jiaye Teng @ SUFE

🏆 Awards

• 2024 - 2025 Zheng Zukang Scholarship (Top 1%), Fudan University
• 2024 - 2025 National Scholarship (Top 1%), Fudan University

⚙️ Service

• Volunteer at the 2026 Conference on the Fundamentals of Artificial Intelligence (FAIC)

🗒️ Notes

I’m sharing some personal reading notes at Zhihu. If you find any errors in it, please contact me immediately!

• Understanding Machine Learning: From Theory to Algorithms