Jared Smith

Q: What is Jared D Smith email address?

Email Jared D Smith at jsmith@usgs.gov. This email is the most updated Jared D Smith's email found in 2026.

Q: How to contact Jared D Smith?

To contact Jared D Smith send an email to jsmith@usgs.gov. (updated on March 04, 2025)

Machine Learning Specialist at U.S. Geological Survey (USGS) | Reston, Virginia, United States

About Jared Smith

Jared D. Smith serves as a Machine Learning Specialist at the U.S. Geological Survey (USGS), where he leverages his expertise in environmental systems engineering, spatial data analysis, and statistics to address critical challenges in water resource management. In his current role, Jared is the technical lead for several national machine learning initiatives that focus on predicting and understanding stream salinization and streamflows across the conterminous United States. These projects are pivotal in supporting national water availability assessments, which aim to identify and mitigate potential water scarcity issues in the face of climate variability and increasing demand.

Jared’s work involves coupling advanced physical and mathematical models with robust statistical analyses, allowing for a comprehensive understanding of watershed dynamics and the impacts of human activities on water systems. His research interests extend to stormwater management and green infrastructure, where he applies stochastic hydrology techniques to develop innovative solutions for sustainable water resource management. By utilizing tools such as ArcGIS and R, Jared effectively conducts spatial analyses and data analytics that inform planning and management decisions for environmental and earth-energy systems.

In addition to his technical skills, including proficiency in GitHub for version control and collaborative research, Jared is committed to translating complex data into actionable insights through clear technical writing. His contributions not only enhance the scientific community's understanding of water systems but also play a crucial role in guiding policymakers and stakeholders towards informed decisions that promote sustainable water management practices. As he continues to push the boundaries of machine learning applications in environmental science, Jared remains dedicated to fostering resilience in water resources amidst the challenges posed by climate change and urbanization.

Jared Smith Work