Photo of Anderson E. Monken

Anderson E. Monken

Education

  • M.S., Data Science and Analytics, Georgetown University, 2021
  • B.A., Economics, Chemistry, and Mathematics, Vanderbilt University, 2017
Current Research Topics
  • Artificial intelligence explainability, scalable data management metholdologies, computing infrastructure technologies
  • Chief Artificial Intelligence Officer

    Board of Governors of the Federal Reserve System

    2024 - present
  • Group Manager

    Board of Governors of the Federal Reserve System

    2022 - present
  • Adjunct Professor

    Georgetown University

    2021 - present
  • Technology Analyst

    Board of Governors of the Federal Reserve System

    2018 - 2022
  • Senior Research Assistant

    Board of Governors of the Federal Reserve System

    2018
  • Research Assistant

    Board of Governors of the Federal Reserve System

    2017 - 2018
  • Bill of lading data in international trade research with an application to the COVID-19 pandemic
    Aaron Flaaen, Flora Haberkorn, Logan Lewis, Anderson Monken, Justin Pierce, Rosemary Rhodes, and Madeleine Yi
    Review of International Economics (2023)
    https://doi.org/10.1111/roie.12657
    See also » FRB Working Paper (2021)
  • Assuring AI methods for economic policymaking
    Anderson Monken, William Ampeh, Flora Haberkorn, Uma Krishnaswamy, and Feras A. Batarseh
    AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical (2023)
    https://doi.org/10.1016/C2021-0-00128-0
  • Effects of Supply Chain Bottlenecks on Prices using Textual Analysis
    Henry L. Young, Anderson Monken, Flora Haberkorn, and Eva Van Leemput
    FEDS Notes (2021)
    https://doi.org/10.17016/2380-7172.3037
  • Bill of Lading Data in International Trade Research with an Application to the COVID-19 Pandemic
    Aaron Flaaen, Flora Haberkorn, Logan Lewis, Anderson Monken, Justin Pierce, Rosemary Rhodes, and Madeleine Yi
    Finance and Economics Discussion Series (2021)
    https://doi.org/10.17016/FEDS.2021.066
  • Public policymaking for international agricultural trade using association rules and ensemble machine learning
    Feras A. Batarseh, Munisamy Gopinath, Anderson Monken, and Zhengrong Gu
    Machine Learning with Applications (2021)
    https://doi.org/10.1016/j.mlwa.2021.100046
  • Artificial Intelligence Methods for Evaluating Global Trade Flows
    Feras A. Batarseh, Munisamy Gopinath, and Anderson Monken
    International Finance Discussion Papers (2020)
    https://doi.org/10.17016/IFDP.2020.1296
Awards
  • 2021

    Federal Reserve Board

    Special Achievement Award

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Last Update: August 26, 2024