About Me

I am a Dow Environmental Sustainability Doctoral Fellow and Ph.D. candidate in the Environmental Spatial Analysis Lab at the University of Michigan’s School for Environment and Sustainability. My advisor is Dr. Daniel Brown. Prior to starting my graduate studies, I used to work full-time as 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
  • SQL

About My Work

I use remote sensing and statistical learning for investigating the drivers of land-cover and land-use change. I am particularly interested in the socio-ecological drivers of urban change and neighborhood growth and decline. I am an advocate for free and open-source software and am currently investigating the use of high-performance computing for remote sensing and geospatial analysis.

As a Research Scientist at MTRI, I led research into the visualization of carbon flux and other Level III 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.