Emma Fuller

Data Science & Impact Underwriting at Fractal Agriculture
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Greater Seattle Area

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Experience

    • United States
    • Financial Services
    • 1 - 100 Employee
    • Data Science & Impact Underwriting
      • Dec 2022 - Present
    • United States
    • Farming
    • 700 & Above Employee
    • Carbon and Ecosystem Services Global Portfolio Leader
      • May 2022 - Dec 2022

      Led Corteva's Carbon and Ecosystem Services business to quantify sustainability outcomes for farmers and reward them for stewardship outcomes leveraging Corteva's global scale, our Granular digital platform, routes to market, and leading science

    • Science Lead for Carbon and Ecosystem Services Global Portfolio
      • Oct 2020 - May 2022

      Science lead for Corteva's Carbon and Ecosystem Services programs to quantify sustainability outcomes for farmers and reward them for stewardship outcomes leveraging Corteva's global scale, digital platform, routes to market, and leading science

    • United States
    • Farming
    • 1 - 100 Employee
    • Director of Sustainability Science
      • Jul 2019 - May 2022

    • Lead Data Scientist
      • Jul 2018 - Jun 2019

    • Data Scientist
      • Sep 2016 - Jun 2018

      As a data scientist at Granular I work with large, high dimensional, unstructured data sets to derive novel insights for farmers.

    • Data Science Consultant
      • Nov 2015 - Sep 2016

      While a consultant for Granular I modeled crop productivity as a function of soil characteristics. The result is a nationwide index we can use to estimate soil quality that rivals the accuracy of existing metrics.

    • United States
    • Higher Education
    • 700 & Above Employee
    • PhD Student
      • Sep 2011 - Aug 2016

      My PhD work made use of large spatial and temporal datasets of the US west coast commercial fisheries to better understand how fishing impacts the environment and how this may change under novel management and/or climate change scenarios. Specifically I sewed together large, high dimensional, unstructured data sets to derive novel insights into how we can better manage for ecological and social sustainability in the commercial fisheries on the US West Coast. My PhD work at Princeton combined both theoretical modeling and data-driven statistical and machine learning approaches. Show less

    • United States
    • Non-profit Organizations
    • 700 & Above Employee
    • Researcher
      • Apr 2010 - Aug 2011
    • United States
    • Higher Education
    • 700 & Above Employee
    • Research assistant
      • Jun 2009 - Jun 2010

Education

  • Princeton University
    PhD, Ecology
    2011 - 2016
  • University of Chicago
    BA, Biology & Environmental Studies
    2005 - 2009

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