Item talk:Q46378

usgs_staff_profile:

 meta:
   status_code: 200
   timestamp: '2023-09-30T16:41:44.614034'
   url: https://www.usgs.gov/staff-profiles/galen-gorski
 profile:
   abstracts: []
   affiliations: []
   education:
   - "\u200BPh.D. Earth Sciences, 2020, University of California, Santa Cruz; Advisors:\
     \ Andrew Fisher and Adina Paytan"
   - 'Linking hydrologic and biogeochemical cycling across scales: Implications for
     nutrient and w'
   - B.A. Chemistry, 2013, Carleton College
   - Probing the primary events of photosynthesis using ultra-fast lasers
   email: ggorski@usgs.gov
   expertise_terms:
   - Machine learning
   - Biogeochemical cycling
   - Watershed hydrology
   - High-frequency water quality measurement
   - Groundwater-surface water interactions
   honors: []
   intro_statements:
   - Galen Gorski is a Machine Learning Specialist for the USGS Water Mission Area,
     based in Reston, VA.
   name: Galen Gorski
   name_qualifier: null
   orcid: 0000-0003-0083-4251
   organization_link: https://www.usgs.gov/mission-areas/water-resources
   organization_name: Water Resources Mission Area
   personal_statement: "I am interested in understanding fundamental connections\
     \ between hydrologic and biogeochemical cycling in natural and managed landscapes.\
     \ This requires a suite of methods and approaches including data-driven techniques,\
     \ field campaigns, and laboratory analysis. I am interested in projects that\
     \ use machine learning and other data-driven techniques to cut across these\
     \ boundaries and develop understanding of the connections between water quantity\
     \ and quality and their implications for water resource management and sustainability.In\
     \ my previous work, I investigated controls on nitrogen cycling in managed aquifer\
     \ recharge settings in agricultural areas of California. I have also worked\
     \ to develop local and regional recharge suitability maps in California and\
     \ the Middle East North Africa Region to help guide future project siting. I\u2019\
     m excited about combining my experiences with the incredible expertise at USGS\
     \ to tackle important water resource challenges."
   professional_experience:
   - "\u200B2021- Present Machine Learning Specialist, U.S. Geological Survey, Water\
     \ Mission Area"
   - '2021 Postdoctoral Scholar, University of California, Berkeley, Mentor: Laurel
     Larsen'
   - '2020 Postdoctoral Researcher, University of California, Santa Cruz; Mentors:
     Andrew Fisher and Margaret Zimmer'
   - 2014-2015 Biological Technician, University of Minnesota/USDA
   - "\u200B2013-2014 Laboratory Technician"
   title: Machine Learning Specialist