Welcome to my corner of GitHub! I am a Research Economist passionate about solving critical environmental and natural resource challenges through data-driven insights and collaborative science.
🗺️ socialmapper
A community mapping toolkit for travel time analysis and accessibility visualization.
Helps you understand how people connect with important places in their community.
Key Features:
- Travel time catchment analysis (walk, bike, drive)
- Accessibility mapping for schools, clinics, and more
- Open-source and easy to use
Natural language query agent for RPA land use datasets.
Interact with complex forest and economic data using conversational AI.
Key Features:
- Query land use data in plain English
- AI-powered data exploration
- Designed for researchers and policymakers
Convert proprietary ESRI formats to open geospatial standards.
Democratizes access to spatial data workflows.
Key Features:
- Fast ESRI-to-GeoJSON/Parquet conversion
- CLI and Python API
- Supports batch processing
🌡️ climate-zarr
High-performance toolkit for climate data analysis using cloud-optimized Zarr storage.
Enables scalable environmental research workflows.
Key Features:
- Cloud-native Zarr storage
- Scalable analysis for large climate datasets
- Integrates with xarray and geospatial tools
I explore the dynamic interaction between human decisions and natural systems at the intersection of:
- 🌱 Resource and Environmental Economics
- 🌳 Land-Use Change
- 🔥 Climate Change Adaptation and Mitigation
With expertise in econometric modeling and large-scale geospatial data, my work aims to inform actionable solutions for sustainable land management under climate change and climate-driven disturbances.
📍 Current Role: Research Economist | USDA Forest Service, Southern Research Station
🎓 Ph.D. Applied Economics | Oregon State University
✉️ Contact Me | 🌐 Visit My Website
Analyzing historical patterns and projecting future land-use scenarios under various climate and socioeconomic conditions.
Key Contribution: Resources Planning Act (RPA) Assessment - revealing trade-offs between economic and environmental goals.
Studying the impact of policies like tax incentives and conservation programs on wildfire risk, carbon sequestration, and ecosystem services.
Leading national initiatives to integrate economic and ecological data with data science, quantifying the value of forests' carbon storage and timber assets.
- 🔎 Climate Adaptation: Strategies to address wildfires, water scarcity, and extreme weather events.
- 🌿 Sustainable Land Management: Evaluating trade-offs among agriculture, forestry, and urban land development to improve resource sustainability.
- 📈 Market Innovations: Exploring emerging markets for ecosystem services, such as carbon and water markets.
My Mission: Deliver tools and insights that empower policymakers, landowners, and communities to navigate global environmental challenges.
| Domain | Technologies |
|---|---|
| Language Ecosystems | Python 3.11+, Modern R, SQL |
| AI & Natural Language | LangChain, LangGraph, OpenAI, Claude |
| High-Performance Computing | Polars, DuckDB, NumPy 2.0, Rust-based tools |
| Geospatial & Climate Science | Zarr, xarray, GDAL, pyogrio, rioxarray |
| Data Engineering | Cloud-native processing, Apache Arrow, Parquet |
| Category | Tools |
|---|---|
| Package Management | uv, pyproject.toml, dependency groups |
| Code Quality | Ruff, ty (Rust type checker), pre-commit |
| Testing & Validation | pytest, hypothesis, coverage.py |
| Documentation & UI | MkDocs Material, Streamlit, interactive notebooks |
| DevOps & Cloud | GitHub Actions, Google Cloud, containerization |
- 🌲 Forest Science: FVS Python bindings, timber valuation models
- 🗺️ Community Mapping: Travel time analysis, accessibility modeling
- 🌡️ Climate Analytics: NetCDF/Zarr conversion, county-level aggregation
- 🤖 Conversational AI: Natural language query agents for complex datasets
I’m always looking for collaborations that drive innovative and sustainable solutions. Let’s connect if you’re interested in:
- 🌎 Exploring climate-driven land-use dynamics
- 🌲 Advancing natural capital accounting frameworks
- 🔗 Developing tools for policy and decision-making
"Understanding human decisions and natural systems is key to addressing our planet's greatest challenges. Let's work together to ensure a sustainable future." 🌱