I am interested in AI and ML broadly. I conduct research on these topics and study how they can be applied to economic research and central banking. See my research page for my academic work. On this page, I list other works of mine related to AI and ML.

AI/ML-related teaching

  • Machine Learning for Economists, master-level course, University of Pennsylvania Department of Economics, Spring 2027. Stay tuned for lecture materials.

Some introductory pieces

  • Using LLMs for Research and Policy Analysis I: AI-Assisted Coding
    with Vitaly Meursault (Philadelphia Fed)
  • Using LLMs for Research and Policy Analysis II: Structured Output
    with Vitaly Meursault (Philadelphia Fed)
    [Local Copy]
  • Locally Hosted RAG for Economists
    with Samuel Braun (Philadelphia Fed)
    [Local copy]

Conferences organized

  • Frontiers in Machine Learning and Economics: Methods and Applications
    joint with the Center for Applied Artificial Intelligence (Chicago Booth)
  • Conference on Real-Time Data Analysis, Methods, and Applications
    local organizer
  • NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics
    joint with Sid Chib (Olin Business School)
  • Machine Learning at Central Banks (2021)
  • Young Scholars Conference on Machine Learning in Economics and Finance
    • 2021, 2022, 2023