Education
Duke University 2024–2026
M.A. in Economics GPA: 3.97
Southwestern University of Finance and Economics, China
(SWUFE) 2020–2024
Bachelor of Economics GPA: 4.0 (Ranking:
1/30)
University of California, Berkeley Fall
2022
Visiting Student GPA: 3.9
Research Interests
Industrial Organization; Behavioral Economics; Causal Inference
Relevant Courses
Math and Statistics Courses: Real Analysis (A+); Linear Algebra (A+); Probability (A+); Bayesian Statistics (A); Numerical Analysis (A); Multivariable Calculus I & II (A); Differential Equations (A-); Game Theory (A+); Stochastic Processes (A)
PhD-Core: Econometrics I (A); Econometrics II (A-); Microeconomics I (A)
PhD-Field: IO in Health Markets (A); International Trade and Labor Market (A)
Research Experience
Master’s Thesis (Duke); Advisor: Prof. Philipp Sadowski Apr 2025–present
Over-Competition and Market Volatility: A Theory of the Desire to Win
Develop a new utility model in which the desire to win is defined as the utility gain from exceeding others’ payoffs, to explain excessive competition and market instability. Provide rigorous proofs of the conditions under which no pure‐strategy Nash equilibrium exists, and derive the corresponding mixed‐strategy probability distribution that shows overproduction. Use experimental data to estimate the desire to win using structural estimation and find that it is statistically significant and large.Research Assistant (Duke); Supervisor: Prof. Ryan C. McDevitt May 2025–present
Private Equity Acquisition and Hospital Performance
Enhanced the fuzzy-matching algorithm to link hospital records with a private-equity dataset. Disaggregated system-level deals into individual hospital deals, then merged private-equity deals with hospital cost reports to construct a hospital–year panel. Created a series of plots for multiple subgroups to support analysis. Conducted replication analyses for a published paper using updated data. Applied a staggered DID approach to estimate treatment effects.Research Assistant (Duke); Supervisor: Prof. Anqi Zhao May 2025–present
Instrumental Variables and Design-Based Theory for Causal Inference
Developed and proofread math-statistics proofs for propositions and theorems. Developed R code to run simulations and generate violin plots using both empirical and simulated data. Read and summarized papers on instrumental variables, including interpretations of LATE. Compared related literature and synthesized connections and differences across studies.Research Assistant (Duke); Supervisor: Prof. Daniel P. Gross Dec 2024–Apr 2025
Project on Patent, R&D Funding, and Paper Citation
Conducted large-scale data integration and analysis by merging and linking comprehensive datasets, including academic publications, global patent records, and government funding data. Performed exploratory data analysis, data visualization, and text analysis (e.g., title trends across decades).Undergraduate Thesis (SWUFE); Advisor: Prof. Jianyu Yu May 2023–May 2024
Threshold Effect of R&D Investment During Shock: Evidence from COVID-19
Developed an R&D competition model and computed the multiplayer Nash equilibrium, applied the panel threshold model and staggered DID to validate outcomes, concluded that firms above a size threshold significantly increased R&D spending during shocks, and estimated the welfare loss.Research Assistant (SWUFE); Supervisor: Prof. Mengmeng Guo Mar 2023–Jun 2024
The Impact of Early-Life Earthquake Exposure on Entrepreneurship
Collected and merged household survey data with earthquake disaster data, scraped additional data for mechanism discussions using Python, visualized data by creating heatmaps in Stata, ran regressions, examined mechanisms, conducted heterogeneity analysis, and wrote part of the manuscript.Independent Research Paper (UCB); Advisor: Prof. Benjamin Schoefer Aug 2022–Dec 2022
The Asymmetric Effect of Gasoline Prices on Electric Vehicle Sales
Analyzed monthly data to assess the relationship between gasoline prices and electric car sales. Used the autoregressive distributed lag model (ARDL) to test asymmetric effects in multiple ways. Concluded that consumers respond more strongly to increases in gasoline prices than to decreases.International Mathematical Contest in Modeling (MCM); Team Leader Jan 2022–Feb 2022
How Does Asteroid Mining Impact Global Inequality?
Led a team of three to develop a game-theoretic model assessing country participation in asteroid mining. Analyzed supply and demand data of minerals and conducted Monte Carlo simulations to estimate the impact on global inequality.
Scholarship & Awards
Master’s Scholar Award, Highest (Duke University)
2024–2026
First-Class Academic Scholarship (SWUFE) 2022–2023
Undergraduate Research Scholarship (SWUFE) 2023
First-Prize in Applied Econometric Competition (SWUFE)
2023
First-Class Exchange Program Scholarship (SWUFE) 2022
Meritorious Winner (4% of teams) in International Mathematical Contest
in Modeling (MCM) 2022
Other Information
Technical Skills: R, Python, Stata, SQL,
Mathematica, LaTeX, Git/GitHub
Teaching Assistant: Decision 516 (Duke, Fuqua, 2024);
Decision 610 (Duke, Fuqua, 2025)