Hugues Annoye

Hugues Annoye

Postdoctoral researcher

UCLouvain Saint-Louis Bruxelles

Hugues Annoye is a researcher in statistics and machine learning and holds a PhD in science after completing a thesis in statistics under the supervision of Cédric Heuchenne. He is currently a researcher at UCLouvain Saint-Louis Bruxelles. His research interests include statistics and data science, particularly statistical matching and synthetic data creation. Hugues Annoye is involved in the Beamm project, which aims to build a microsimulation model of the tax system in Belgium. He was previously a teaching assistant in quantitative methods (mainly in mathematics).

Hugues Annoye is member of the Center for Applied Public Economics (CAPE), member of Networks Ontology Data Epistemology Subjectivity (NODES), member of the Institut de Recherches interdisciplinaires sur Bruxelles (IRIB) and a member of the Center for Research in Economics (CEREC), all at the UCLouvain Saint-Louis Bruxelles.

He is also member of the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) at UCLouvain in Louvain-la-Neuve, of the Belgian Mathematical Society (BMS) and of the Royal Statistical Society of Belgium (RSSB).

Interests
  • Data science
  • Machine learning
  • Statistics
  • Statistical Matching
  • GAN
  • Microsimulation modelling
Education
  • Phd in Science, 2024

    UCLouvain

  • Master in Statistics, 2017

    UCLouvain

  • Master in Mathematics, 2016

    UCLouvain

  • Bachelor in Mathematics, 2014

    UCLouvain

Spoken languages
  • French
  • English
  • Dutch (basic)
Programming languages
  • R
  • Python
  • Latex
  • SAS
  • Matlab
  • c++ (basic)

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