My research focuses on the intersection of geospatial science, environmental health, pollution, public health, and ecosystem monitoring. I integrate GIS, remote sensing (including satellite imagery and UAV data), machine learning, and statistical modeling to analyze environmental pollutants such as air pollution, water contaminants, and pesticide exposure. I also work on wetland monitoring and land use change detection using multi-source geospatial data. My goal is to develop high-resolution spatial datasets and predictive models that inform public health strategies, support ecosystem conservation, and advance environmental justice through data-driven insights.