Specializing in remote sensing applications for land and resource monitoring, conservation, and ecological restoration. Proficient in UAV-based LiDAR, multispectral imaging, and machine learning techniques.
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Graduate Teaching Assistant for GEOG 413: Remote Sensing of the Environment. Conducted fieldwork and research projects using UAVs, LiDAR, and multispectral imaging.
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Developed AI detection algorithms and performance metrics for remote sensing systems at Oak Ridge National Laboratory. Proficient in Python, R, and cloud computing for data analysis.
Explore ProjectsHighlighting some of my key research and professional projects.
Investigated riparian systems using UAV-based LiDAR and multispectral imaging to support ecological restoration and dam impact studies at Cherokee National Forest.
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Analyzed the spatial dynamics of Bacillus anthracis lineages in West Texas to understand pathogen distribution in ranching communities.
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Collaborated with the Nahalem Bay Watershed Council to classify invasive tree species along riparian zones, contributing to salmon habitat revitalization efforts.
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Quantified changes in phenological timing in Appalachian regions using cloud computing methods and regression analysis in R Studio.
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