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Zach Modig

Lead Fin Inst Policy Analyst Supervision and Regulation
202-452-3903
[email protected]

Education

  • M.S., Statistics, Pennsylvania State University, 2016
  • B.S., Physics, Pennsylvania State University, 2008
Current Research Topics
  • Agent-Based Models: Agent Behavior and Estimation
  • Systemic Risk in Trading and Capital Markets
  • Lead Fin Inst Policy Analyst

    Board of Governors of the Federal Reserve System

    2017 - present
  • Sr. Scientist

    Naval Surface Warfare Center, Carderock Division

    2009 - 2017
  • Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values
    Thomas R. Cook, Zach D. Modig, and Nathan M. Palmer
    Finance and Economics Discussion Series (2024)
    https://doi.org/10.17016/FEDS.2024.075
  • conference

    July 2024

    Workshop on Economics with Heterogenous Interacting Agents

    Does Learning Lead to Endogenous Business Cycles? An Agent-Based Reinforcement Learning Model of RBC Growth

  • conference

    March 2024

    Eastern Economic Association

    Labor Migration Networks: An ABM Approach with Remote Dynamics

  • conference

    November 2023

    The Computational Social Science Society of the Americas

    Understanding Emergence Through Agent-Based Computation

  • conference

    June 2021

    Computing in Economics and Finance

    Labor Migration Networks: An ABM Approach with Remote Dynamics

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Last Update: October 21, 2024