RESEARCH

My research focuses on applications of survey statistics and spatial statistics to questions in the social sciences and demography. In particular, I am interested in design-based and model-based analysis of survey data and the communication and interpretation of critical official statistics including mortality rates.

Students

Master’s

	Joshua Chase Project: Quantifying plate discipline in Major League Baseball
	Forough Hammond Project: Integrating probability and non-probability samples to address selection bias in the All of Us Dataset
	Amelia Le Project: A comparison of models for estimation of monthly county-level excess mortality during the COVID-19 pandemic

Other Projects

Small area estimation of health and demographic indicators

I am currently researching methods for mapping health and demographic indicators at the subnational level with Jon Wakefield. In our work, we aim to develop simple, interpretable estimators that leverage recent advances in spatial modeling and acknowledge survey design through the use of sampling weights.

Probabilistic forecasts of sea ice thickness

I have previously studied statistical postprocessing methods for improving forecasts for sea ice thickness with Adrian Raftery and Cecilia Bitz. Predicting changes in Arctic sea ice thickness is vital in a changing Arctic for making decisions about shipping and resource management in the region. We developed a statistical spatio-temporal two-stage model for sea ice thickness and showed how it could be used to generate probabilistic forecasts up to three months into the future (Journal of Agricultural, Biological and Environmental Statistics, 2022)