Amber is an expert on continuous data workflows for the USGS. Her work focuses on streamlining records processing, automated data screening, and data monitoring applications. Amber’s background is in watershed hydrology, surface water quality, data science and machine learning, and hydroinformatics. Amber recently completed a PhD focused on data science applications for water including anomaly detection for aquatic sensor data, water data science instruction, and current developments in hydrologic information systems. Amber's degrees are in Civil and Environmental Engineering from Utah State University. Prior to working at the USGS, she was a research engineer at the Utah Water Research Lab. She has also worked as an environmental scientist and as a river guide. She is located in Logan, UT.​