Item talk:Q44528: Difference between revisions

From geokb
(Updated person data cache with ORCID information)
(Updated item talk page content)
Line 2,316: Line 2,316:
usgs_staff_profile:
usgs_staff_profile:
   meta:
   meta:
    url: https://www.usgs.gov/staff-profiles/alison-appling
    timestamp: '2024-01-30T09:51:48.077388'
     status_code: 200
     status_code: 200
    timestamp: '2023-09-30T15:18:23.889608'
    url: https://www.usgs.gov/staff-profiles/alison-appling
   profile:
   profile:
     abstracts: []
     name: Alison Appling, PhD
     affiliations: []
     name_qualifier: null
     education:
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     - 'Ph.D. Ecology, 2012. Duke University, Durham, NC. '
     - Data Scientist
     - 'Connectivity Drives Function: Carbon and Nitrogen Dynamics in a Floodplain-Aquifer
    organizations:
       Ecosystem. Advisors: E. S. Bernhardt and R. B. Jackson'
     - !!python/tuple
    - 'B.S. Symbolic Systems, 2004. Stanford University, Stanford, CA. '
      - Water Resources Mission Area
    - Coursework in computer science, decision analysis, logic, linguistics, and psychology.
       - https://www.usgs.gov/mission-areas/water-resources
     email: aappling@usgs.gov
     email: aappling@usgs.gov
    orcid: 0000-0003-3638-8572
    intro_statements:
    - Alison Appling, Ph.D., (she/her) is a data scientist and ecologist who applies
      machine learning and other data-driven methods to predict and understand water
      resources dynamics.
     expertise_terms:
     expertise_terms:
     - Data science
     - Data science
Line 2,336: Line 2,341:
     - Machine learning
     - Machine learning
     - Modeling
     - Modeling
    professional_experience:
    - Development Ecologist and Data Scientist, U.S. Geological Survey, 2019-Present
    - Ecologist, U.S. Geological Survey, 2016-2019
    - 'Postdoctoral Fellow, USGS Powell Center and University of Wisconsin-Madison.
      Mentors: E. H. Stanley, J. S. Read, E. G. Stets, and R. O. Hall, 2015-2016'
    - 'Postdoctoral Associate, University of New Hampshire. Mentor: W. H. McDowell,
      2013-2015'
    - 'Postdoctoral Associate, Duke University. Mentor: J. B. Heffernan, 2012-2013'
    - 'Ph.D. Student and Teaching Assistant: Organismal Diversity, Aquatic Field Ecology,
      and General Microbiology, University Program in Ecology, Duke University, 2006-2012'
    - Research Technician, Stanford University & Carnegie Institution of Washington,
      2004-2006
    - 'Undergraduate Teaching Assistant: Programming Paradigms and Discrete Mathematics,
      Computer Science, Stanford University, 2001-2003'
    education:
    - 'Ph.D. Ecology, 2012. Duke University, Durham, NC. '
    - 'Connectivity Drives Function: Carbon and Nitrogen Dynamics in a Floodplain-Aquifer
      Ecosystem. Advisors: E. S. Bernhardt and R. B. Jackson'
    - 'B.S. Symbolic Systems, 2004. Stanford University, Stanford, CA. '
    - Coursework in computer science, decision analysis, logic, linguistics, and psychology.
    affiliations: []
     honors: []
     honors: []
     intro_statements:
     abstracts: []
    - Alison Appling, Ph.D., (she/her) is a data scientist and ecologist who applies
      machine learning and other data-driven methods to predict and understand water
      resources dynamics.
    name: Alison Appling, PhD
    name_qualifier: null
    orcid: 0000-0003-3638-8572
    organization_link: https://www.usgs.gov/mission-areas/water-resources
    organization_name: Water Resources Mission Area
     personal_statement: "Current RolesProject Manager: Predictive Understanding of\
     personal_statement: "Current RolesProject Manager: Predictive Understanding of\
       \ Multiscale Processes (PUMP)Task Lead: Advancing Machine Learning and Data\
       \ Multiscale Processes (PUMP)Task Lead: Advancing Machine Learning and Data\
Line 2,365: Line 2,383:
       \ the Water Mission Area. She is on the USGS career track called Equipment Development\
       \ the Water Mission Area. She is on the USGS career track called Equipment Development\
       \ Grade Evaluation (EDGE)."
       \ Grade Evaluation (EDGE)."
    professional_experience:
    - Development Ecologist and Data Scientist, U.S. Geological Survey, 2019-Present
    - Ecologist, U.S. Geological Survey, 2016-2019
    - 'Postdoctoral Fellow, USGS Powell Center and University of Wisconsin-Madison.
      Mentors: E. H. Stanley, J. S. Read, E. G. Stets, and R. O. Hall, 2015-2016'
    - 'Postdoctoral Associate, University of New Hampshire. Mentor: W. H. McDowell,
      2013-2015'
    - 'Postdoctoral Associate, Duke University. Mentor: J. B. Heffernan, 2012-2013'
    - 'Ph.D. Student and Teaching Assistant: Organismal Diversity, Aquatic Field Ecology,
      and General Microbiology, University Program in Ecology, Duke University, 2006-2012'
    - Research Technician, Stanford University & Carnegie Institution of Washington,
      2004-2006
    - 'Undergraduate Teaching Assistant: Programming Paradigms and Discrete Mathematics,
      Computer Science, Stanford University, 2001-2003'
    title: Data Scientist

Revision as of 16:51, 30 January 2024

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     name:
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       credit-name:
         value: Alison P. Appling
       family-name:
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usgs_staff_profile: 

 meta:
   url: https://www.usgs.gov/staff-profiles/alison-appling
   timestamp: '2024-01-30T09:51:48.077388'
   status_code: 200
 profile:
   name: Alison Appling, PhD
   name_qualifier: null
   titles:
   - Data Scientist
   organizations:
   - !!python/tuple
     - Water Resources Mission Area
     - https://www.usgs.gov/mission-areas/water-resources
   email: aappling@usgs.gov
   orcid: 0000-0003-3638-8572
   intro_statements:
   - Alison Appling, Ph.D., (she/her) is a data scientist and ecologist who applies
     machine learning and other data-driven methods to predict and understand water
     resources dynamics.
   expertise_terms:
   - Data science
   - Ecology
   - Biogeochemistry
   - Rivers and streams
   - Machine learning
   - Modeling
   professional_experience:
   - Development Ecologist and Data Scientist, U.S. Geological Survey, 2019-Present
   - Ecologist, U.S. Geological Survey, 2016-2019
   - 'Postdoctoral Fellow, USGS Powell Center and University of Wisconsin-Madison.
     Mentors: E. H. Stanley, J. S. Read, E. G. Stets, and R. O. Hall, 2015-2016'
   - 'Postdoctoral Associate, University of New Hampshire. Mentor: W. H. McDowell,
     2013-2015'
   - 'Postdoctoral Associate, Duke University. Mentor: J. B. Heffernan, 2012-2013'
   - 'Ph.D. Student and Teaching Assistant: Organismal Diversity, Aquatic Field Ecology,
     and General Microbiology, University Program in Ecology, Duke University, 2006-2012'
   - Research Technician, Stanford University & Carnegie Institution of Washington,
     2004-2006
   - 'Undergraduate Teaching Assistant: Programming Paradigms and Discrete Mathematics,
     Computer Science, Stanford University, 2001-2003'
   education:
   - 'Ph.D. Ecology, 2012. Duke University, Durham, NC. '
   - 'Connectivity Drives Function: Carbon and Nitrogen Dynamics in a Floodplain-Aquifer
     Ecosystem. Advisors: E. S. Bernhardt and R. B. Jackson'
   - 'B.S. Symbolic Systems, 2004. Stanford University, Stanford, CA. '
   - Coursework in computer science, decision analysis, logic, linguistics, and psychology.
   affiliations: []
   honors: []
   abstracts: []
   personal_statement: "Current RolesProject Manager: Predictive Understanding of\
     \ Multiscale Processes (PUMP)Task Lead: Advancing Machine Learning and Data\
     \ Assimilation, within the PUMP ProjectAlison studies the movement of energy,\
     \ carbon, and nutrients through rivers, lakes, and floodplains to better predict\
     \ and understand variations in water quality over space and time.As a machine\
     \ learning modeler and biogeochemist, she seeks modeling advances that bring\
     \ together scientific knowledge and data-driven models. \u201CProcess-guided\
     \ deep learning\u201D and \u201Cdifferentiable hydrology\u201D are two approaches\
     \ on which she collaborates.As a data scientist, she conducts analyses in ways\
     \ that are reproducible, efficient, and transparent, and she has developed tools\
     \ and workflows to support others in these goals.In her leadership roles, she\
     \ facilitates fluid skill sharing within teams and communities of practice,\
     \ challenges individuals to excel in their projects and careers, and coordinates\
     \ across projects to realize the Water Mission Area\u2019s vision of broadly\
     \ reusable, integrated tools for predicting water quantity and quality across\
     \ the nation.Alison is based in State College, PA, and is a member of the Analysis\
     \ and Prediction Branch in the Integrated Modeling and Prediction Division in\
     \ the Water Mission Area. She is on the USGS career track called Equipment Development\
     \ Grade Evaluation (EDGE)."
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