Item talk:Q49376

usgs_staff_profile:

 meta:
   status_code: 200
   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:
   - Model Diagnostics
   - Machine Learning
   - Hydrologic Statistics
   - 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