Dr. Howard H. Chang's lab focuses on developing innovative statistical methods to analyze the health effects of environmental exposures. The research aims to improve our understanding of how various environmental factors influence health outcomes, especially in vulnerable populations. Their work involves using advanced statistical techniques, including Bayesian analysis and machine learning, to address complex epidemiological questions.

Dr. Emily Nancy Peterson's lab focuses on improving public health data accuracy for American Indian and Alaska Native populations through advanced statistical methods. The research seeks to provide better estimates of mortality rates in tribal and rural areas by addressing data collection challenges and misclassification errors. This work aims to empower local health departments with tools and methodologies to monitor health trends effectively.