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Hi! My name is Tiffany and I’m a geospatial machine learning engineer who is passionate about climate resilience and data for social good. I grew up between coastal Los Angeles and Taipei and am now based in New England.
Broadly, I am interested in using geospatial technology and environmental modeling to address planetary challenges. On the R&D and Cloud teams at Blue Marble Geographics, a neat little geospatial software company in Maine, I have focused on developing workflows for AI/ML 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, completing a custom PyTorch + Libtorch build with expanded CUDA architecture support, georeferencing objects in pixel space for vehicle detection model validation, setting up infrastructure in the Azure ecosystem and configuring DAPR sidecars for inference as part of an Azure to AWS migration for Geographic Calculator Cloud. I am also gaining experience working closer to the metal with x64 build systems and maintaining CI/CD pipelines for our suite of desktop products.
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. The lab’s work later expanded to public health matters and I was a research assistant on the team that wrote a Nature paper 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 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)
- Bash (Intermediate)
- R (Intermediate)
- C++ (Learning)
Python Geospatial/ML Libraries:
- GDAL/OGR
- GeoPandas
- Rasterio
- Fiona
- Shapely
- Xarray
- PyTorch
- Torchvision
Frameworks and Tools:
- AWS
- Azure
- CMake
- Docker
- Git
- Github Actions
- Jenkins
- Kubernetes
Languages (World):
- English (native)
- Mandarin (native)
- Taiwanese (fluent)
- Spanish (proficient)
Education:
- Cornell University, BS, 2018
- Tufts University, MS, 2024