I care about rigorously-derived methods for learning about, and taking good care of, our planet 🌍 .

I'm a geospatial software engineer atonXmaps, where I'm working to build the best backcountry map for recreationists and professionals alike.

I hold a Ph.D. 🎓 in Ecology from the University of Washington, where I developed a few new methodologies for understanding the effects of environmental change on ecosystems at a variety of scales, from organismal to planetary. I studied Computer Science at Tufts University in Medford, MA., where I earned my B.S. (dissertation |google scholar)

• 🗺️ Geospatial software development in Python (and GDAL, and Mapbox, and QGIS, and PostGIS...)
• 🛰️ Remote sensing for environmental analysis (mostly Planet Labs, Landsat, Sentinel)
• 🌩️ Cloud-native data workflows (AWS ECS, Lambda, S3; COGs, STACs, and others.)
• ❓ Machine learning with heterogeneous environmental data (PyTorch, Tensorflow, Scikit-learn)
• 🌿 Ecological responses to climate change
• ⚖️ Policy-forward solutions to the climate crisis
• ⛷️ Skiing/trail-running/recreating on U.S. Public Lands

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1. planet-snowcoverplanet-snowcoverPublic

   Can we use Planet high-resolution imagery and machine learning to assess snow cover?

   Jupyter Notebook 20 7

2. HuckleyLab/phyto-mhwHuckleyLab/phyto-mhwPublic

   Using thermal physiology to assess the ecological impacts of marine heatwaves.

   Jupyter Notebook 3 2

3. runoutrunoutPublic

   Compute avalanche runout (alpha) angles interactively.

   JavaScript 1

4. avymailavymailPublic

   Get various American avalanche forecasts in your e-mail.

   HTML 2 1

5. landwatchlandwatchPublic

   Exploring the network of federal public lands, legislation, legislators, and campaign finance in the U.S.

   Python 7 2

6. trailbehind/changegentrailbehind/changegenPublic

   Generation of OSM changefiles from PostGIS database tables and Planet files.

   Python 3