Biography
I am a CS Ph.D. student at the University of Michigan, Ann Arbor, advised by Prof. Lin Ma. My research lies at the intersection of machine learning and data systems. I currently work on learned query optimization across heterogeneous database systems, with an emphasis on building methods that are accurate, efficient, and reusable across different database engines. I also study automated optimization for lakehouse systems, including the joint selection and configuration of execution engines and table formats. In addition, I explore how classic database index design can be revisited for LLM-based document analysis, such as hierarchical plain-text indexes inspired by the B+ tree that let LLMs answer questions over large documents with far fewer tokens. More broadly, I am interested in intelligent and portable systems for data management.
I finished my Bachelor degree in Computer Science and Technology at Peking University, where I worked on approximate algorithms in data streams and computer network systems with Prof. Tong Yang. I also finished my Bachelor degree in Economics at Peking University.