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 postdoctoral 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). During the first semester of the 2026–2027 academic year, he is undertaking a research stay with Professor Kim Phuc Tran’s team at the GEMTEX research laboratory, ENSAIT, University of Lille.

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), of the International Microsimulation Association (IMA) and of the Royal Statistical Society of Belgium (RSSB).

Finaly, he is also president of the Maphyl, the UCLouvain Alumni Association in Mathematical and Physical Sciences.

Interests
  • Data science
  • Machine learning
  • Statistics
  • Statistical Matching
  • GAN
  • Wasserstein 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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