Biography

I am a third year Ph.D. student in computer science at University of California, San Diego. I am fortunate to work with Loris D’Antoni. My research aims to enhance software reliability and efficiency through program synthesis, with a current focus on its applications in specification mining, static analysis, and fuzzing. I worked as a Applied Scientist Intern at Amazon Automated Reasoning Group, mentored by Victor Nicolet and Joey Dodds.

Before moving to UCSD, I had a wonderful year in UW-Madison. I received my B.S. degree in computer science from Turing Class, Peking University. I used to be a member of PKU-PLL, supervised by Yingfei Xiong and Di Wang.

Publications

(2026). Nice to Meet You: Synthesizing Practical MLIR Abstract Transformers. In POPL26.

Code

(2025). LOUD: Synthesizing Strongest and Weakest Specifications. In OOPSLA25.

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(2023). Synthesizing Efficient Memoization Algorithms. In OOPSLA23.

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Experience

 
 
 
 
 
Amazon Web Services
Applied Scientist Intern
Jun 2025 – Sep 2025 Arlington, VA, USA
 
 
 
 
 
Veridise Inc.
Research Intern
Jul 2022 – Feb 2023 Remote