Exposures are unevenly distributed. Their effects shouldn't go unnoticed.
Environmental exposures are unevenly distributed, and their health effects often go unnoticed until communities experience respiratory symptoms, inflammation, or disease exacerbations. I integrate exposure science, immunology, microbiology, biomarker discovery, and computational data science to identify when and how biological and non-biological pollutants influence respiratory and immune health.
Through the RIPLRT Institute and collaborative partnerships, my team studies indoor dust after hurricanes, fungal spores, airway microbiomes, immune biomarkers, and population-level datasets to forecast short-term risk windows and support prevention — with a focus on Puerto Rico, South Florida, and communities disproportionately affected by environmental and climate-related stressors. Mentees are embedded in every project, from concept to dissemination, building a diverse scientific workforce prepared to translate data into equitable health impact.
- Exposure
- Immune bioactivity
- Biomarker discovery
- Computational modeling
- Community translation
