Taylor Hauser has worked at ORNL in various roles for over 9 years. He uses his background in geography (BA UTK 2014) and environmental informatics (MS TTU 2019) to study and model the built environment. He does so through the use of building morphology indicators as inputs into machine learning models. His work helps enrich and validate various geospatial data sets used by the emergency response and national security communities. Taylor has assisted in the development of USA Structures₁, LandScan USA and HD₂, and over 10 HIFLD layers₃ while responding to many emergency events_4,5

1. https://gis-fema.hub.arcgis.com/

2. https://landscan.ornl.gov/

3. https://hifld-geoplatform.opendata.arcgis.com/

4.https://www.ornl.gov/news/deep-learning-underlies-geographic-dataset-used-hurricane-response

5. https://nypost.com/2021/12/13/biden-to-tour-kentucky-tornado-damage/