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 updated_date: '2024-05-22T15:49:32.862858'

USGS Staff Profile:

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   abstract: Data Scientist with the Water Resources Mission Area
   additionalType: short description
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   abstract: 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.
   additionalType: staff profile page introductory statement
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   abstract: "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)."
   additionalType: personal statement
 email: aappling@usgs.gov
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   name: "Ph.D. Ecology, 2012. Duke University, Durham, NC. \nConnectivity Drives\
     \ Function: Carbon and Nitrogen Dynamics in a Floodplain-Aquifer Ecosystem.\
     \ Advisors: E. S. Bernhardt and R. B. Jackson"
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   name: "B.S. Symbolic Systems, 2004. Stanford University, Stanford, CA. \nCoursework\
     \ in computer science, decision analysis, logic, linguistics, and psychology."
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   name: Development Ecologist and Data Scientist, U.S. Geological Survey, 2019-Present
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   name: 'Postdoctoral Associate, Duke University. Mentor: J. B. Heffernan, 2012-2013'
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   name: 'Ph.D. Student and Teaching Assistant: Organismal Diversity, Aquatic Field
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   name: Research Technician, Stanford University & Carnegie Institution of Washington,
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   name: 'Undergraduate Teaching Assistant: Programming Paradigms and Discrete Mathematics,
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 jobTitle: Data Scientist
 knowsAbout:
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   name: Data science
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   additionalType: self-claimed expertise
   name: Ecology
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   additionalType: self-claimed expertise
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   additionalType: self-claimed expertise
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   name: Machine learning
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   additionalType: self-claimed expertise
   name: Modeling
 memberOf:
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   member:
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     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:43:21.895471'
 name: Alison Appling, PhD
 url: https://www.usgs.gov/staff-profiles/alison-appling