Introduction

Welcome! I graduated from Elite Program in Economics, Renmin University of China (中国人民大学) with bachelor’s degrees in Economics & Mathematics. I am now an M.S. student at the Department of Computer Science jointly with Harris School of Public Policy, the University of Chicago.

At Uchicago, I am advised by Xuechunzi Bai (白雪纯子). Prior to UChicago, I am advised by Junjian Yi (易君健) at the Peking University National School of Development.

Research Interests

My research interests lie at the intersection of behavioral science and computational methods. Currently, I focus on the following 2 lines:

• Causal inference and Human Behaviors I study how large-scale exogenous shocks—such as natural disasters, childhood adverse experiences, and public policies—causally shape human behaviors and decision-making. My research leverages causal inference methods to uncover how these shocks contribute to social inequalities and biases towards vulenerable groups.

• Computational Methods and Social Perception
  I use computational methods, particularly natural language processing (NLP), to examine how social perceptions and stereotypes evolve over time. This line of work seeks to uncover the origins that shape and sustain changes in human beliefs.

Together, these two lines of research form my broader agenda: exploring the origins of social biases and understanding how policy interventions can causally alleviate them.

Selected Work in Progress

• Early life Diaster Exposure and Long-term Health Risk Effect: A Life-span Empirical Evidence from China with Xinzhen Zhang et al, Under Review at Journal of Environmental Economics and Management (IF 5.9)

• Gender Differences in Positions: Evidence from Civil Servants Recruitment , with Hanyu Zhu and Junjian Yi, Forthcoming

• Research on Computational Analysis of Ethnic Stereotypes Using Word Embeddings, with Joshua Jackson and Xuechunzi Bai, Forthcoming