01 / RESEARCH

Research

01

Mental health data science

Epidemiological and causal inference methods for understanding treatment trajectories, prescribing patterns, and real-world medication effectiveness among people with severe mental illness using electronic health records.

02

Bayesian methods for survey data

Bayesian weighted latent class methods for complex survey data and non-probability samples, with applications to nutrition, cardiometabolic health, and health disparities.

03

Global and planetary health

Collaborative research on nutrition, food systems, micronutrient deficiencies, parasitic infections, and infectious disease across diverse populations and environmental settings.

04

Research software and tools

Open-source R packages, interactive applications, and web-based resources to make statistical methods and health data research more accessible and reproducible.

PEER-REVIEWED PUBLICATIONS