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)- 2026: [Conference Website] (Philadelphia Fed, November 6, 2026).
- 2025: [Program PDF]
- 2024: [Program PDF]
- 2022: [Program PDF]
- Conference on Real-Time Data Analysis, Methods, and Applications
local organizer- 2026: [Conference Website] (Philadelphia Fed, October 9-10, 2026).
- NBER-NSF Seminar on Bayesian Inference in Econometrics and Statistics
joint with Sid Chib (Olin Business School)- 2025: [Program PDF]
- 2023: [Program PDF]
- Machine Learning at Central Banks (2021)
- Young Scholars Conference on Machine Learning in Economics and Finance
- 2021, 2022, 2023