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USGS Staff Profile:
USGS Staff Profile:
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Revision as of 20:06, 23 May 2024

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USGS Staff Profile:

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 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Machine Learning Specialist with the Water Resources Mission Area
   additionalType: short description
 - '@type': TextObject
   abstract: Jared D. Smith, Ph.D., is a Machine Learning Specialist in the USGS
     Water Resources Mission Area. He is based in Reston, VA.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: 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.
   additionalType: personal statement
 - '@type': TextObject
   abstract: "\u200BCluster Analysis and Prediction of Flood Flow Metrics for Minimally\
     \ Altered Catchments in the Conterminous United States, HydroML Symposium 2022"
   additionalType: staff profile page abstract
 - '@type': TextObject
   abstract: Discovering Flood Regions and Predicting Flood Flow Metrics to Inform
     Bridge Scour Studies in the Conterminous United States, National Hydraulic Engineering
     Conference, 2022
   additionalType: staff profile page abstract
 email: jsmith@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: "\u200BPh.D. Environmental and Water Resources Systems Engineering, Cornell\
     \ University, 2019"
 - '@type': EducationalOccupationalCredential
   name: M.S. Environmental and Water Resources Systems Engineering, Cornell University,
     2016
 - '@type': EducationalOccupationalCredential
   name: B.S. Environmental Engineering, Clarkson University, 2013
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Water Resources Mission Area
     url: https://www.usgs.gov/mission-areas/water-resources
   roleName: Machine Learning Specialist
   startDate: '2024-05-12T15:17:41.378526'
 identifier:
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   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q49376
 - '@type': PropertyValue
   propertyID: ORCID
   value: 0000-0003-3124-8255
 jobTitle: Machine Learning Specialist
 knowsAbout:
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Model Diagnostics
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Machine Learning
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Hydrologic Statistics
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Optimization
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Water Resource Management
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Surface Water
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Geothermal Resource Assessment
 - '@type': Thing
   additionalType: self-claimed expertise
   name: Heat Flow
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:17:41.376020'
 name: Jared Smith
 url: https://www.usgs.gov/staff-profiles/jared-smith