I am an econometrician passionate about data science and economics. I exploit alternative, unstructured and big data for economic forecasting using time series and machine learning. I work with macroeconomic and natural resource data to provide better predictions and policy support.

I am currently working in the Nowcasting team at the European Commission - Joint Research Centre (JRC). Previously, I was part of the bigNOMICS team on Big Data and Economic Forecasting.

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  • Big Data & Data Science
  • Commodity Markets
  • Econometrics
  • Machine Learning
  • Time Series
  • Sentiment Analysis
  • PhD in Econometrics, 2017

    KU Leuven

  • Research Master in Econometrics, 2015

    Université catholique de Louvain

  • BSc in Economics, 2013

    Bocconi University


Peer-reviewed journal publications and working papers

Full publication list available on Google Scholar.

(2023). Forecasting GDP in Europe with Textual Data. Journal of Applied Econometrics.

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(2023). Forecasting with Economic News. Journal of Business and Economic Statistics.

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(2022). Testing Big Data in a Big Crisis: Nowcasting under COVID-19. International Journal of Forecasting.

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(2022). Detecting Anti-dumping Circumvention: A Network Approach. working paper SSRN 4160612.

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(2022). Sentiment Analysis of Economic Text: A Lexicon-based Approach. working paper SSRN 4106936.

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