Primary affiliation: Assistant Professor in the Department of Government at the University of Texas at Austin.
Visiting affiliation: Visiting Assistant Professor in the Department of Government at Harvard University.
Consulting role: Institute for Health Metrics & Evaluation (IHME), University of Washington.
Methodological research: AI and global development, earth observation data for causal inference, adversarial dynamics, computational text analysis.
Substantive research: Political economy, social movements, descriptive representation.
[CV] [Google Scholar] [UT Profile] [Academic Website]
[Team] [Students] [AI & Global Development Lab GitHub]
[Data Assets] [YouTube Tutorials] [Hugging Face]
[Planetary Causal Inference: Implications for the Geography of Poverty] [Data]
[Can Large Language Models (or Humans) Disentangle Text Features?] [Code]
[Image-based Treatment Effect Heterogeneity] [Code]
[Non-parametric Content Analysis] [Code]
[Linking Datasets on Organizations Using Half A Billion Open Collaborated Records] [Code]
[The Composition of Descriptive Representation] [Code]
[Degrees of Randomness in Rerandomization Procedures] [Code]
