Christopher Uejio

Professor of Geography and Public Health

Department

Department of Geography

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Biography

Chris studies extreme weather, climate change, and human health and well-being. His applied statistical work uses both frequentist and Bayesian statistics.

Selected Publications

Scientific Data13(1), 647.
Large-scale modeling for housing condition prediction using machine learning algorithms.
Kim, K., Holmes, T., Powell, E., & Uejio, C. K. (2026)
Health & Place97, 103600.
Understanding heat-driven health risks: Spatiotemporal dynamics and regional vulnerability in New Mexico.
Choi, M., Langer, C. E., Hawkinson, C., VanSickle, M., Moraga-McHaley, S., Hu, L., ... & Uejio, C. K. (2026)
Scientific Data12(1), 1717.
A comprehensive dataset of residential air conditioning prevalence in the continental United States.
Ahn, Y., & Uejio, C. K. (2025)

Large-scale modeling for housing condition prediction using machine learning algorithms.

Understanding heat-driven health risks: Spatiotemporal dynamics and regional vulnerability in New Mexico.

A comprehensive dataset of residential air conditioning prevalence in the continental United States.