Stephanie Gordon
About Stephanie Gordon
Stephanie Gordon is a Physical Scientist at the U.S. Geological Survey, specializing in environmental science and data management. She has extensive experience in GIS, statistical analysis, and web application development, contributing to various environmental health projects since 2018.
Work at U.S. Geological Survey
Stephanie Gordon has been employed at the U.S. Geological Survey (USGS) as a Physical Scientist since 2018. She works in Leetown, West Virginia, where she prepares static and interactive maps for publication on USGS Environmental Health websites. In her role, she led the data management and GIS teams for the USGS-CDC COVID-19 wastewater sampling project, ensuring the timely delivery of cleaned and quality-assured results to the CDC. Additionally, she has developed and maintained web applications using RShiny and geonarratives in ArcOnline for various USGS projects.
Education and Expertise
Stephanie Gordon holds a Master's degree in Environmental Science and Policy from George Mason University, which she completed from 2016 to 2019. She also earned a Professional Certificate in Geographic Information Science and Cartography from the same institution between 2014 and 2016. Her undergraduate education includes a Bachelor of Arts in Foreign Languages and Literatures with a Minor in Environmental Studies from James Madison University, completed from 2011 to 2013. Her academic background supports her expertise in environmental science, data management, and geographic information systems.
Background
Before her current role at USGS, Stephanie Gordon worked as a Student Geographer in Environmental Science at USGS from 2015 to 2018 in Reston, Virginia. She also served as a Program Assistant for the Summer in Paris Study Abroad Program at James Madison University in 2013, spending 11 months in the Paris Area, France. Additionally, she worked at Clyde's Restaurant Group as a Bartender, Trainer, and Server from 2012 to 2017 in Reston, Virginia.
Technical Skills and Projects
Stephanie Gordon has implemented statistical analyses and machine learning methods, including CART, Random Forests, Canonical Correspondence Analysis (CCA), and Principal Component Analysis (PCA), to assess complex environmental relationships. She has coordinated data and analyses for multiple environmental health projects, focusing on issues such as harmful algal blooms and endocrine-disrupting compounds. Her technical skills contribute to her effectiveness in managing and analyzing environmental data.