Jennifer Rapp
About Jennifer Rapp
Jennifer Rapp is the Branch Chief of Decision Support at the U.S. Geological Survey, where she has worked since 2020. With a background in biogeography, hydrology, and GIS, she has contributed significantly to ecological research and decision support systems for water resources management.
Current Role at U.S. Geological Survey
Jennifer Rapp serves as the Branch Chief for Decision Support at the U.S. Geological Survey (USGS) in Richmond, Virginia. She has held this position since 2020. In her role, she focuses on developing decision support systems that enhance water resources management. Rapp leads interdisciplinary teams to address complex environmental challenges and improve ecological outcomes.
Previous Experience at U.S. Geological Survey
Prior to her current role, Jennifer Rapp worked at the U.S. Geological Survey from 2001 to 2020. During her 19 years at USGS, she held various positions, including Biogeographer, Hydrologist, and GIS Specialist. Her work involved analyzing ecological data and contributing to research on critical habitat needs for endangered species.
Educational Background
Jennifer Rapp earned her Bachelor of Science degree in Biology and Geography from Valparaiso University, where she studied from 1994 to 1998. She then pursued a Master’s Degree in Geography at the University of Tennessee, completing her studies from 1998 to 2001. Her educational background provides a strong foundation for her work in ecological research and water resource management.
Research and Publications
Jennifer Rapp has published multiple peer-reviewed articles focusing on the critical habitat needs of endangered species. Her research contributions extend to presenting findings at various professional meetings, particularly in the areas of ecological flows and aquatic habitat quality. Rapp's work has significantly advanced understanding in these fields.
Funding and Project Leadership
Jennifer Rapp has a proven track record of securing funding for ecological research projects. She has successfully led interdisciplinary teams in developing decision support systems, demonstrating her ability to manage complex projects and collaborate effectively across various scientific disciplines.