Summary
Tiffany Wu is a geospatial data scientist and DevOps-oriented R&D analyst based in Cambridge, MA, with eight years of experience applying machine learning and spatial analytics to climate and urban resilience problems. At Blue Marble Geographics she builds and containers deep learning pipelines (custom PyTorch + LibTorch with expanded CUDA support) for land cover classification and building extraction, and integrates georeferencing workflows for high-resolution model validation. Her background blends hands-on cloud and CI/CD tooling (Azure, Docker, Jenkins) with spatial libraries (GDAL, GeoPandas, Rasterio) and practical teaching experience in spatial statistics and urban analytics. Prior roles at Berkeley’s Global Policy Lab and Arup underline a strong policy-fluent perspective on climate impacts and sustainability, while internships show early experience translating stakeholder needs into actionable plans. She pairs rigorous quantitative methods with production-focused engineering, making her adept at moving geospatial ML from research prototypes into reproducible, deployable systems.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Animal Science, Bachelor of Science - BS, Animal Science at Cornell University
Master of Science - MS, Environmental Policy and Planning, Master of Science - MS, Environmental Policy and Planning at Tufts University
High School Diploma, High School Diploma at Palos Verdes Peninsula High School
English, Spanish, Chinese, Mandarin, German