Item talk:Q49493

usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T17:14:50.008505'
   url: https://www.usgs.gov/staff-profiles/paul-stackelberg
 profile:
   abstracts: []
   affiliations: []
   education: []
   email: pestack@usgs.gov
   expertise_terms:
   - machine learning
   - groundwater quality
   honors: []
   intro_statements:
   - Paul Stackelberg is a Hydrologist with the Water Resources Mission Area.
   name: Paul Stackelberg
   name_qualifier: null
   orcid: 0000-0002-1818-355X
   organization_link: https://www.usgs.gov/mission-areas/water-resources
   organization_name: Water Resources Mission Area
   personal_statement: 'Paul Stackelberg has worked as a hydrologist with the U.S.
     Geological Survey (USGS) since 1988. His research interests have included (1)
     evaluating natural and anthropogenic factors that affect groundwater quality,
     (2) developing statistical models for predicting the occurrence of contaminants
     in groundwater resources, and (3) determining the persistence and fate of pharmaceuticals
     and other wastewater-related compounds in conventional and advanced drinking-water-treatment
     facilities. Currently Paul is leading a team of USGS scientist who are using
     machine learning methods to predict groundwater quality conditions in three
     dimensions throughout select principal aquifers of the United States as well
     as at the depths commonly used for domestic and public supplies at the National
     scale.Education:M.S., Geology, University of Missouri - Columbia.B.S., Geology
     and Mineralology, The Ohio State University, Minor: Computer and Information
     Science.'
   professional_experience: []
   title: Hydrologist