Applied research
Development economics, food prices, labor markets, household welfare, and field experiments.
Collaboration
I collaborate on applied development economics research, field data systems, reproducible analysis workflows, and AI-assisted research tools.
I am especially interested in projects that connect rigorous empirical work with practical systems: better survey operations, cleaner data pipelines, stronger replication workflows, and tools that help researchers and field teams make better decisions.
Core areas of collaboration
Designing and implementing randomized trials and development economics studies
Engineering SurveyCTO platforms and data quality assurance workflows for field teams
Conducting replication audits and reproducibility checks on econometric pipelines
Evaluating the reliability and governance of AI tools in quantitative workflows
Developing custom digital infrastructure and software for research operations
Reproducibility
Stata, Python, replication audits, code review, and LLM-assisted econometric workflow testing.
Field systems
SurveyCTO instruments, high-frequency checks, data quality dashboards, and large-scale implementation protocols.
If you have a study, dataset, field system, or AI-research workflow you would like to make more rigorous, please reach out to discuss potential collaboration.
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