Cluster 1: Networks, Experiments, & Games

Who Gets the Blame? A Structural Theory of Scapegoating in Social Networks

Supervised by Duke Prof. Charles Becker, Dec.2024 – Present
keywords: Scapegoating, Social Networks, Opinion Dynamics, Game Theory, Network Centrality, Social Complexity, Structural Inequality, Collective Violence

Why Polarization Becomes Slow and Deep: A System Dynamics Model of Perception Delay in Opinion Networks

Independent Research, Duke University, Nov.2025 – Present
keywords: Perception Delay, Opinion Dynamics, System Dynamics, Polarization, Cognitive Inertia, Bounded Confidence, Feedback Loops

Understanding Chinese-speaking Trump Supporters Online: Features, Factors, and Intervention Strategies of Political Opinion Extremism in the X Network during the 2020 U.S. Election

Group Project, SICSS-NYUSH, Jun.2025
keywords: CTSs, Social Media, Ideological Extremity, Echo Chambers, Topic Modeling, Explainable AI, Rewiring Algorithms

Detecting Polarization with Minimal Supervision: Spectral Clustering on Stance-Augmented Embeddings

Supervised by Duke Prof. Patrick Wang, Nov.2025 – Present
keywords: Polarization Detection, Semantic Embeddings, Spectral Clustering, Ideological Structure, Weak Supervision

Network Experiments under Dynamic Treatment Diffusion: Design and Estimation for Bias Reduction

Supervised by Duke Prof. Sudeepa Roy, Mar.2025 – May.2025
keywords: Treatment Diffusion, Network Experiments, Average Treatment Effect (ATE), Graph Cluster Randomization, Neighborhood-Based Estimators, Independent Cascade Model (ICM), Bias Reduction

Government Endorsement and Voter Skepticism: An Experiment of Selective Disclosure in Political Communication

Supervised by FSU Prof. Pellumb Reshidi, Mar.2025 – May.2025
keywords: Government Bias, Voter Skepticism, Selective Information Disclosure, Misinformation, Experimental Politics, Political Communication

Supervised by CUHKsz Prof. Yangbo Song, Sep.2023 – Dec.2023
keywords: Petition System, Institutional Failure, Game Theory, Law and Economics, Misinformation, Public Grievance Mechanisms, Bayesian Learning


Cluster 2: Applied Econometrics, Policy, & Development

Pension Policy as a Pathway to Happiness: Insights from China’s New Rural Pension Scheme

Coauthored with Cambridge Dr. Saite Lu, Aug.2023 – Present
keywords: Subjective Well-Being (SWB), Rural Pension Schemes, Regression Discontinuity Design, Economic Inequality, Aging Population

On the Development Path of Hong Kong and Singapore Economy: Is the Industrial Policy Important?

Supervised by CUHKsz Prof. Chunrong Ai, Jun.2022 – Jul.2023
keywords: Applied Macro-econometrics, Development Economics, Industrial Policy, Economic Growth, Structural Change, Vector Autoregression

Predicting Default Rate of Lending Club Loans: Lasso-Penalized Logistic Regression and Nonlinear Methods

Supervised by CUHKsz Prof. Qihui Chen, Dec.2022
keywords: Credit Scoring, Default Prediction, Logistic Regression, Regularization, Decision Trees, Neural Networks, Specificity, AUC

Total Factor Productivity and Social Capital

Research Assistant, Supervised by Cambridge’s Dr. Saite Lu , Aug.2023 – Jun.2024
keywords: European NUTS2 Regions, Development Economics, TFP, Social Trust, Two-way Fixed Effect, System GMM, Semiparametric Regressions