Research
This page brings together the parts of my work that are more research-oriented: earlier applied projects, publications, and invited talks. While products now take a more central role on the main page, research remains an important part of my background and ongoing professional identity.
Articles and Papers
Research across missing data, Bayesian and hierarchical modeling, spatial poverty analysis, and related quantitative methods.
Seminars and Presentations
Selected invited talks, seminars, and academic presentations connected to missing data, statistical modeling, and methodological work.
PhD Dissertation
Earlier doctoral work on random forests with missing data and autoencoder-based reconstruction of missing values, which helped shape my later interests in uncertainty, methodology, and computation.
Projects
Applied statistics, missing data, machine learning, and social-data projects that shaped how I think about modeling, software, and evidence.