I earned my PhD at the University of Colorado, Boulder, where I modeled the causes of species diversity patterns in urban, fragmented ecosystems around the globe. This work was part of my broader interest in the developing tools to explore and analyze data for positive environmental and social change.
After graduate school, I spent eight years as a Data Scientist and Scientific Software Developer at the National Ecological Observatory Network (NEON). I built mobile data collection applications to collect high quality continental-scale ecological data, and software tools to clean, process and analyze large quantities of information. My work enhanced data quality and availability, so NEON data could be reliably used by scientists worldwide to better understand the responses of communities and ecosystems to such disturbances as climate and land-use change.
I then moved on to a Data Engineering position at Earthshot Labs. Here, I develop backend processing workflows and automated testing for geospatial and non-geospatial data, architect back-to-front end pipelines, and build interactive webpages.
I have a strong and varied skill set related to software and data engineering. I thrive on finding creative solutions for exploring, managing, analyzing, and telling stories with data.