Item talk:Q49376: Difference between revisions

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          Water and natural resources systems management: multiobjective spatial decision
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    timestamp: '2023-09-30T17:09:38.032849'
    url: https://www.usgs.gov/staff-profiles/jared-smith
  profile:
    abstracts:
    - "\u200BCluster Analysis and Prediction of Flood Flow Metrics for Minimally Altered\
      \ Catchments in the Conterminous United States, HydroML Symposium 2022"
    - Discovering Flood Regions and Predicting Flood Flow Metrics to Inform Bridge
      Scour Studies in the Conterminous United States, National Hydraulic Engineering
      Conference, 2022
    affiliations: []
    education:
    - "\u200BPh.D. Environmental and Water Resources Systems Engineering, Cornell\
      \ University, 2019"
    - M.S. Environmental and Water Resources Systems Engineering, Cornell University,
      2016
    - B.S. Environmental Engineering, Clarkson University, 2013
    email: jsmith@usgs.gov
    expertise_terms:
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    - Optimization
    - Water Resource Management
    - Surface Water
    - Geothermal Resource Assessment
    - Heat Flow
    honors: []
    intro_statements:
    - Jared D. Smith, Ph.D., is a Machine Learning Specialist in the USGS Water Resources
      Mission Area. He is based in Reston, VA.
    name: Jared Smith
    name_qualifier: null
    orcid: 0000-0003-3124-8255
    organization_link: https://www.usgs.gov/mission-areas/water-resources
    organization_name: Water Resources Mission Area
    personal_statement: Jared has a background in environmental systems engineering,
      spatial data analysis, and statistics. His previous research has coupled physical
      and mathematical models with statistical analyses to inform planning and management
      decisions for environmental, earth-energy, and water resources systems. Jared
      joined the USGS in 2021 after completing a postdoc at The University of Virginia,
      where he developed green infrastructure portfolio optimizations that were designed
      to be robust to Bayesian-estimated parametric uncertainty of a watershed model.
      Jared completed his Ph.D. at Cornell University, where his research addressed
      Appalachian Basin geothermal resource assessment and subsequent uncertainty
      assessments for deep geothermal district heating projects at the Cornell and
      West Virginia University campuses. Previous work has also addressed ice jam
      flood frequency analysis under climate change, applied to the Peace-Athabasca
      Delta in Canada.
    professional_experience: []
    title: Machine Learning Specialist

Latest revision as of 21:21, 22 September 2024

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}

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