In 2019, I finished my PhD in the Environmental Spatial Analysis Lab at the University of Michigan's School for Environment and Sustainability. My dissertation was co-advised by Drs. Dan Brown (Univ. of Washington) and Josh Newell. While at Michigan, my research was supported by a Dow Environmental Sustainability Doctoral Fellowship, a Rackham Predoctoral Fellowship, and the Sloan & Moore Foundation. Prior to starting my graduate studies, I was a Research Scientist at the Michigan Tech Research Institute (MTRI).
If I was a contestant on Jeopardy! my six dream categories would be:
- Shackleton's 1914 Imperial Trans-Antarctic Expedition
- Regular expressions
- Philip K. Dick's collected works
- Rocks and minerals you can identify with your tongue
- Bear encounters
About My Work
I use remote sensing and statistical learning to investigate the drivers of change in the Earth system. My dissertation focused on the social and economic drivers of change in neighborhood vegetated cover and how these drivers compare between different U.S. metropolitan areas. I am particularly interested in the socio-ecological relations of long-term change in ecosystem services or natural resources at municipal, metropolitan, or regional scales. I am an advocate for free and open-source software and equity and inclusion in teaching computer-aided analysis, which has historically been an exclusive and needlessly intimidating field of study for students.
As a Research Scientist at MTRI, I led research into the visualization of carbon flux and other Level-3 gridded Earth science model outputs. I've also developed software for identifying erosion risk after wildfires, displaying and analyzing Great Lakes water quality data from remote sensing, visualizing earth-observing satellites in real time, and routing traffic to avoid weather-related crashes.