hello world —
Data analyst at NCEAS. Fulbright Scholar in Paraguay. I make maps of things that are on fire, count fish for a living (sort of), and write Python until my eyes cross. Based in Santa Barbara when I'm not somewhere else.
I took the scenic route to data science. Started with Environmental Studies and Economics at UC Santa Cruz, spent a few years doing supply chain consulting and corporate responsibility work, then went back to UCSB for a Master's in Environmental Data Science because I missed being confused by math.
Now I work at NCEAS on the Western Wildfire Risk Index — basically trying to figure out which communities are most at risk and whether they can get out if things go sideways. Before that I was an Ocean Health Index Fellow, which involved a lot of marine ecology data and a surprising amount of R code.
I'm currently in Paraguay on a Fulbright doing independent research, which is a pretty wild sentence to type. I care a lot about open science, reproducible workflows, and making technical work make sense to people who didn't spend three hours debugging a GeoPandas CRS issue.
When I'm not staring at rasters, I'm probably at the animal shelter, hiking, or reading backcountry avalanche forecasts (AIARE 1 certified, very cool, I know).
Can 30,000 U.S. communities actually evacuate during a wildfire? I built a pipeline combining USFS burn probability rasters with OpenStreetMap road data to find out. The result is an interactive bivariate map that shows where fire risk and escape routes collide. Spoiler: some places are in trouble.
Python OSMnx GeoPandas Rasterio Folium
Contributed to the annual global OHI assessment as a fellow. This meant wrangling a truly absurd number of ecological datasets, calculating ocean health scores, and making it all reproducible. Learned a lot about marine ecology and an unreasonable amount about R tidyverse.
R tidyverse Spatial Analysis Data Viz
Pointed convolutional neural networks at satellite imagery and asked them to tell me what they saw. Part of my MEDS thesis work — focused on using deep learning for environmental monitoring and spatial pattern recognition.
Python PyTorch Remote Sensing GIS
In a past life, I managed international supply chain data for corporate sustainability programs. Led a team, built client relationships, and learned that most interesting data problems start with someone saying "we have a spreadsheet but..."
Data Management Risk Analysis Project Management
Things I reach for regularly. Sorted by how often I google the docs.