Personal website showcasing my work in survey methodology, machine learning, and computational social science.
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Updated
May 4, 2026 - Python
Personal website showcasing my work in survey methodology, machine learning, and computational social science.
Statistically defensible stratified sampling for an employee engagement survey: sample-size calc (95% CI + finite-population correction), proportional allocation, and representativeness validation in Python.
Open-source harmonization of U.S. higher-education survey data into reproducible analytical panels, using Reconstructive Harmonization across methodological discontinuities. Integrates NSF/NCSES surveys: HERD (R&D expenditure) and Federal S&E Support (federal funding).
Replication code for Gieng (2026), "Measurement Is Not Passive: Identification of Treatment Effects When Outcomes Are Elicited Rather Than Observed."
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