SK

Scientific machine learning for environmental monitoring and animal behavior. Building reproducible research tools for soil-carbon MRV, groundwater-risk assessment, earth observation, uncertainty-aware modeling, and computer vision. Projects emphasize transparent methods, traceable data provenance, open APIs, and clearly documented limitations.