Research Overview

Methodologically, my research has focused on two broad areas: joint models of longitudinal trajectories to predict health outcomes and methods for integrating multiple sources of uncertainty. Usually (but not always), I use Bayesian methods. These approaches have been applied to projects related to women's health, mortality, and verbal autopsy. More recently, I have been working on estimating demographic indicators in the context of violence and armed conflicts.

Projects (past and current)

• Bayesian methods for estimating life expectancy in conflict settings while accounting for multiple sources of data uncertainty, with Ana Cristina Gomez Ugarte, Dr. Ugofilippo Basellini, Dr. Diego Alburez-Gutierrez, and Dr. Enrique Acosta . Relevant publication here, and a new article citing our work here.
• Computational approaches for estimating mortality in data scarce settings, with Nathaniel Darling, Charles Cui, Tianyu Shen, Zoey Wang, Dr. Basellini, Dr. Monica Alexander
• Joint models for estimating longitudinal biomaker trajectories and women's health outcomes, with Dr. Zhenke Wu and Dr. Mike Elliott. Relevant publications available here and here.
• Latent class methods for estimating disease etiology in case-control studies. (with Dr. Wu) A preprint of the paper is available here.
• Transfer learning in latent class models (with Dr. Wu and Dr. Richard Li) with applications for verbal autopsy.
• Generative network methods for illicit wildlife trafficking flows (with Dr. Neil Carter and Dr. Abigail Jacobs)