Some slides

• Slides from the Journée d’économie appliquée at Université Laval, where I shared reflections on how AI can reshape economies, societies, and along with it the pipeline of empirical economics. Also, featuring examples of applying machine learning in macro/forecasting research.

  Version française ici. English version here.

• Bundesbank ML School, June 10-13 2025

• BCEAO, IA: Opportunités et Défis pour les Banques Centrales. Mes slides: La politique monétaire à l’ère du Machine Learning. [ English version ]

• Albacore inflation slides at Wolfe Research’s 8th Annual Global Quantitative and Macro Investment Conference

• Promises and Pitfalls of AI Evolution at Quebec City Innovation and Resilience Forum

• Macroeconomic Forecasting in the Machine Learning Era (3-4 papers in one, plus some thoughts)

• SIdE Summer School “Macroeconomic Forecasting and Analysis in the Machine Learning Era 2023” [ Slides bundle ] (note that some of the material has been updated/enhanced since this summer).

• Machine Learning Basics for Macroeconomic Forecasting

• Deep Learning Vignettes for Economists

• Discussion at the Bank of England on interpreting black-box models in macro forecasting

• Crossing the Bridge from Econometrics to Machine Learning (intro from UQAM ECO930J)

Some talks

• Maximally Forward-Looking Core Inflation at SUERF Workshop on AI in macroeconomic modelling. (15 mins)

• Econometric Models for Sea Ice Forecasting at IARPC meetings (starts around 34 minutes). Slides here.

• Neural Inflation paper at 35th SUERF - The European Money & Finance Forum Colloquium and 49th Oesterreichische Nationalbank Economic Conference (15 mins)

• Neural Inflation at ISF Oxford 2022 (25 mins)

• Macro RF at 2021 Penn Grad Talks

• Macro RF at SoFie seminar

Some general audience stuff

• Appearance at UQAM’s Québec election debate to introduce the Economy theme (in french)