Paper: Opening the Black Box of Local Projections (with Karin Klieber)
Paper: Ordinary Least Squares as an Attention Mechanism
Website: The Test of Time
Paper: Dual Interpretation of Machine Learning Forecasts (with Maximilian Göbel and Karin Klieber)
Paper: An Adaptive Moving Average for Macroeconomic Monitoring (with Karin Klieber)
Serves as an Associate Editor for the International Journal of Forecasting
Paper: Maximally Forward-Looking Core Inflation (with Karin Klieber, Christophe Barrette, and Max Göbel)
Paper: The Anatomy of Machine Learning-Based Portfolio Performance (with Dave Rapach, Erik Christian Montes Schütte, and Sander Schwenk-Nebbe)
Paper: From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks (with Mikael Frenette and Karin Klieber)
Participated in the Radio-Canada “Question d’intérêt” podcast
Paper: Maximally Machine-Learnable Portfolios (with Maximilian Göbel)
Paper: The Anatomy of Out-of-Sample Forecasting Accuracy (with Daniel Borup, Dave Rapach, Erik Christian Montes Schütte, and Sander Schwenk-Nebbe)
Paper: Assessing and Comparing Fixed-Target Forecasts of Arctic Sea Ice: Glide Charts for Feature-Engineered Linear Regression and Machine Learning Models (with Frank Diebold and Maximilian Göbel)
Research Experience
Extensive research experience in machine learning, macroeconomic monitoring, portfolio performance, and more, with multiple co-authored papers.
Education
Information not provided
Background
Research interests include machine learning, applied macroeconomics, time series econometrics, and climate modeling. Serves as an Associate Editor for the International Journal of Forecasting.
Miscellany
Personal interests include music; member of the band Décorum, released multiple albums and singles.