Ethan Fulton

Editor in Chief at The Gazelle
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Contact Information
us****@****om
(386) 825-5501
Location
Simpsonville, South Carolina, United States, US

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Credentials

  • Bloomberg Market Concepts
    Bloomberg LP
    Jul, 2020
    - Nov, 2024
  • Automate the Boring Stuff with Python Programming
    Udemy
    Jun, 2018
    - Nov, 2024

Experience

    • United Arab Emirates
    • Newspaper Publishing
    • 1 - 100 Employee
    • Editor in Chief
      • Aug 2023 - Present

      Manage a staff of around 100 editors, writers, illustrators, and videographers for an independent student publication with a typical monthly readership of 20,000. Conduct outreach to ensure coverage is representative and inclusive and recruit new staff. Coordinate with legal counsel to work within a unique press legal environment in the UAE and still meaningfully cover sensitive topics.

    • Lead Satire Columnist
      • Sep 2021 - Present

      The Gazelle's lead writer for the Satire Column, publishing most weeks from fall 2021 onwards. Have published over 40 articles for the publication including my Satire Column

    • Senior Opinion Editor
      • Aug 2022 - Dec 2022

    • United States
    • Government Administration
    • 700 & Above Employee
    • Economic Modeling & Analytics Intern, Ginnie Mae
      • Jun 2023 - Aug 2023

      Supported efforts to revamp economic modeling infrastructure and validation procedures for the Office of Enterprise Risk. Updated model governance framework and worked with data analysis and time series clustering for a large quarterly dataset of mortgage bankers' financial reporting forms. Worked to examine current macroeconomic trends to present recommendations for how GNMA should adapt its risk modeling approach to the environment. Supported efforts to revamp economic modeling infrastructure and validation procedures for the Office of Enterprise Risk. Updated model governance framework and worked with data analysis and time series clustering for a large quarterly dataset of mortgage bankers' financial reporting forms. Worked to examine current macroeconomic trends to present recommendations for how GNMA should adapt its risk modeling approach to the environment.

    • United States
    • Think Tanks
    • 1 - 100 Employee
    • Climate Policy Intern
      • Jan 2023 - May 2023

      Worked alongside a dedicated team and contributed to significant research in climate policy and environmental justice. Collaborated across different teams working with Congressional officials and fully drafted policy briefs to communicate important background information. Conducted extensive research on local, national, and global policy initiatives while analyzing data to identify the best approaches forward in a competitive landscape. Worked alongside a dedicated team and contributed to significant research in climate policy and environmental justice. Collaborated across different teams working with Congressional officials and fully drafted policy briefs to communicate important background information. Conducted extensive research on local, national, and global policy initiatives while analyzing data to identify the best approaches forward in a competitive landscape.

    • Germany
    • Research
    • 1 - 100 Employee
    • CoronaNet Student Research Assistant
      • Sep 2021 - Jan 2023

      Worked under Prof. Robert Kubinec as an officially selected student researcher for CoronaNet, encoding all Covid-19 policy changes and updates for several Middle Eastern countries. Also managed new research assistants and data progress as co-manager for the Western Africa region. CoronaNet is a worldwide collaborative effort to compile a database of policy responses to Covid-19 Worked under Prof. Robert Kubinec as an officially selected student researcher for CoronaNet, encoding all Covid-19 policy changes and updates for several Middle Eastern countries. Also managed new research assistants and data progress as co-manager for the Western Africa region. CoronaNet is a worldwide collaborative effort to compile a database of policy responses to Covid-19

    • United Arab Emirates
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Sep 2020 - Dec 2022

      Worked in Andrew Harris’ research group on a variety of projects related to election fraud and politics in Africa, using R and Python for data analysis. Co-started a project textually analyzing the sentiments of election observation reports in the Global South, working on Malawi election fraud paper. Worked in Andrew Harris’ research group on a variety of projects related to election fraud and politics in Africa, using R and Python for data analysis. Co-started a project textually analyzing the sentiments of election observation reports in the Global South, working on Malawi election fraud paper.

    • Philanthropic Fundraising Services
    • 1 - 100 Employee
    • NYUAD Arete Fellowship
      • Sep 2021 - Nov 2022

      Completed the Arete Fellowship, a competitive in-depth introduction to Effective Altruism cause areas, as well as the In-Depth Fellowship diving further into decision theory and global health among other topics. Completed the Arete Fellowship, a competitive in-depth introduction to Effective Altruism cause areas, as well as the In-Depth Fellowship diving further into decision theory and global health among other topics.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Intern
      • Jun 2019 - Jul 2019

      Interned in the lab of Dr. Jijun Tang under the mentorship of William Hoskins. Utilized machine learning algorithms in Python to successfully design and execute a research project titled "Using Recurrent Neural Networks to Model Political Outcomes". My project constructed a 92% accurate model to predict the winner of any given county during the 2016 Presidential Election using demographic factors alone. Interned in the lab of Dr. Jijun Tang under the mentorship of William Hoskins. Utilized machine learning algorithms in Python to successfully design and execute a research project titled "Using Recurrent Neural Networks to Model Political Outcomes". My project constructed a 92% accurate model to predict the winner of any given county during the 2016 Presidential Election using demographic factors alone.

Education

  • New York University Abu Dhabi
    Bachelor's degree, Economics
    2020 - 2024
  • South Carolina Governor's School for Science & Mathematics
    High School Diploma, Economics
    2018 - 2020
  • Brashier Middle College Charter
    2016 - 2018

Community

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