Contact
Hi! My name is Tiffany and I’m a geospatial analyst who is passionate about climate resilience and data for social good. I am also interested in exploring remote sensing for biodiversity monitoring, urban analytics for smart cities, and how the realms of natural resource management and sustainable agriculture intersect in the context of community food systems. I grew up in coastal Los Angeles and am now based in New England.
Broadly, I am interested in using geospatial data science and environmental modeling to address planetary challenges. As an Analyst on the R&D team at Blue Marble Geographics, a geospatial software company in Maine, I have focused on developing workflows for ML/AI projects in Global Mapper, one of our flagship GIS products whose deep learning capabilities can be found in the Insight and Learning Engine. At Blue Marble, my work includes containerizing pipelines for semantic and instance segmentation with a Streamlit interface for browser-based inference, completing a custom PyTorch + Libtorch build with expanded CUDA architecture support, georeferencing objects in pixel space for model validation with high resolution imagery and setting up infrastructure in the Azure ecosystem for a greenfield project. Additionally, I conduct internal research on 3D and point cloud modeling, foundation models and embeddings.
I started out as the lab manager at the Global Policy Lab, a research group using remote sensing, data science and econometrics to study climate impacts at UC Berkeley’s Goldman School of Public Policy. The lab’s work later expanded to public health matters and I was a research assistant on the team that wrote a Nature paper (2020) analyzing how NPIs in six countries affected the spread of COVID-19. In addition, I have worked with the U.S. EPA, NRDC, Stockholm Environment Institute, Metropolitan Area Planning Council and Arup on sustainability, data analysis and climate strategy.
I earned my master’s in Environmental Planning with a concentration in spatial data analytics from Tufts University’s Department of Urban and Environmental Policy + Planning (UEP) and my bachelor’s in Animal Science with a minor in environmental sustainability from Cornell University. My graduate thesis was on the predictive modeling of eelgrass in coastal Maine.
Below is some recent work from my portfolio. This site is best viewed on desktop. Thanks for visiting!
Languages (Programming):
- Python (Proficient)
- Powershell (Intermediate)
- R (Intermediate)
- C++ (Learning)
Python Geospatial/ML Libraries:
- GDAL/OGR
- GeoPandas
- Rasterio
- Fiona
- Shapely
- Xarray
- PyTorch
- Torchvision
Frameworks and Tools:
- Azure
- CMake
- Docker
- Git
- OpenMVG/S
- Visual Studio
- VSCode
Languages (World):
- English (native)
- Mandarin (native)
- Taiwanese (fluent)
- Spanish (proficient)
Education:
- Cornell University, BS, 2018
- Tufts University, MS, 2024