I am currently a postdoctoral fellow at the University of Toronto with ResNet Theme 3. We are monitoring ecosystem services across Canada by integrating field measurements, census data, social media data, and remotely sensed imagery. We will then assess changes in ecosystem services and their interactions, and attribute the drivers of these changes.
In my previous postdoctoral research at Duke University with PBGJAM, we were forecasting how species and communities are reorganizing under climate change using generalized joint attribute models. I also developed a python package (geedataextract) using Google Earth Engine’s python API, which allows for efficient pre-processing and spatial/temporal averaging of remotely sensed imagery, climate, elevation, and soil datasets.
For my doctoral research, I explored how forests will respond to increases in droughts and heatwaves projected under climate change, by studying the impacts of the 2011 drought on the forests and woodlands of Texas. We developed remote sensing approaches that improved monitoring of forest disturbances from droughts and heatwaves at regional scales. We also developed new modeling approaches, to improve forecasts of forest vulnerability to future droughts and heatwaves.
My research interests include forest disturbance, global change ecology, remote sensing, geospatial analysis, and landscape ecology. I'm drawn to ecological questions relevant to large spatial scales, that require remote sensing & geospatial analysis and the integration of spatial datasets across agencies and platforms. In my research I predominantly use the following programing languages: R, Python, IDL/ENVI API, and MATLAB.