• Characterizing the effects of electronic cigarette aerosols on gene and protein expression in humans and mouse models. The goal of this line of research is to provide a more comprehensive understanding of the respiratory health impact of emerging tobacco products use and allow for the identification of targets for prevention, cessation and treatment strategies.
• Characterizing molecular and toxicological mechanisms of air pollution effects in the male and female lung. The goal of this project is to identify sex-specific effects of inhaled toxicants in a variety of lung conditions. We are also interested in characterizing the roles of the microbiome in airway responses to air pollution exposures.
• Long-term impacts of an urban sanitation intervention on enteric pathogens in children in Maputo city, Mozambique: a cross-sectional follow-up to the Maputo Sanitation (MapSan) trial five years post-intervention. The goal of this study is to assess the impact on an on-site sanitation intervention in Maputo, Mozambique on enteric pathogen detection in child stool and the environment five years post-intervention.
• Pathogen Flows at Citywide Scales. This study aims to assess the transport of enteric pathogens through low-income urban environments.
• Enteric Pathogens in Ancient Feces. This project develops methods for DNA recovery from ancient stool samples and applies modern molecular methods to assess enteric pathogen carriage among ancient populations.
• A cross-sectional study to determine the prevalence of soil transmitted helminth infection among children living in Alabama’s Rural Black Belt. The goal of this study is to analyze stool samples from children living in the Alabama Black for a range of enteric pathogens (i.e., helminths, protozoa, bacteria, and viruses) and identify risk factors for gut carriage of these pathogens.
• Human, animal, plant and environment Health in the context of One Health framework, including methods for human and animal food safety, microbiome and antimicrobial resistance studies and microbial derived products for environmentally friendly processes.
• Mosquito ecology in the Bloomington area. We collect data about larval and adult mosquito abundance and use weather sensors to understand, using quantitative modeling techniques, what triggers mosquito outbreaks, i.e., when mosquito nuisance is unbearable.

Improving water security and preventing lead (Pb) exposure in under-resourced communities. For example, one project assesses the water quality, reliability, and palatability of water for the Uplands Region in Indiana to inform actions for the region's providers.  Another project integrates big data and machine learning methods to predict homes at the highest risk to lead (Pb) exposure.