Julie Padilla, Pe
About Julie Padilla, Pe
Julie Padilla is a Data Scientist at the U.S. Geological Survey, specializing in watershed management and environmental data evaluation. She holds a Master of Science in Environmental Engineering and a Bachelor of Science in Geological and Environmental Science from Stanford University.
Work at U.S. Geological Survey
Julie Padilla has been employed as a Data Scientist at the U.S. Geological Survey (USGS) since 2021. In her role, she focuses on improving post-processing and visualization of modeling results using R programming. She has developed tools in R that enhance project workflows and increase efficiency in data processing. Her work contributes to the agency's mission of providing reliable scientific information about the natural resources and natural hazards that affect the United States.
Education and Expertise
Julie Padilla holds a Master of Science (MS) in Environmental Engineering from Michigan Technological University, which she completed from 2011 to 2013. She also earned a Bachelor of Science (BS) in Geological and Environmental Science from Stanford University, studying from 2002 to 2007. Her expertise includes watershed management and modeling, stream habitat ecology, and environmental data management and evaluation.
Background
Before joining the U.S. Geological Survey, Julie Padilla worked at LimnoTech as a Project Engineer from 2014 to 2021. She also served as a Graduate Research Assistant and a Graduate Teaching Assistant at Michigan Technological University from 2011 to 2013. Additionally, she worked as a Tutor for The Princeton Review in 2011. Her diverse background in academia and industry has equipped her with a comprehensive understanding of environmental science and engineering.
Professional Experience
Julie Padilla's professional experience spans various roles in academia and industry. She worked as a Graduate Teaching Assistant and Graduate Research Assistant at Michigan Technological University, where she gained valuable teaching and research experience. Her role as a Project Engineer at LimnoTech involved applying her engineering skills to environmental projects. These positions have contributed to her development as a data scientist focused on environmental issues.