My work sits at the intersection of behavioral science and computational methods. I explore two main research directions:
First, I study causal inference and human behavior — examining how large-scale exogenous shocks such as natural disasters, childhood adverse experiences, and public policies influence human decision-making and contribute to social inequalities.
Second, I develop computational methods for social perception — using natural language processing to study how social perceptions and stereotypes evolve over time.
I am fortunate to be advised by Prof. Xuechunzi Bai (University of Chicago, Psychology) and have previously worked with Prof. Junjian Yi (Peking University, National School of Development).
Examining how large-scale exogenous shocks — natural disasters, childhood adversity, and public policies — shape human decision-making and social inequalities.
Leveraging NLP and word embeddings to study how social perceptions and stereotypes evolve across time and cultures.
Early Life Disaster Exposure and Long-term Health Effects
Under review at Journal of Environmental Economics and Management
Gender Differences in Civil Service Recruitment Positions
Work in progress
Computational Analysis of Ethnic Stereotypes Using Word Embeddings
Work in progress
March 2026
Paper on early life disaster exposure submitted to Journal of Environmental Economics and Management.
January 2026
Started the winter quarter at UChicago, continuing research on computational analysis of ethnic stereotypes.
September 2025
Joined the University of Chicago as a Master's student in Computer Science (jointly with Harris School of Public Policy).
June 2025
Graduated from Renmin University of China with dual degrees in Economics and Mathematics.
