Hugues Annoye

Hugues Annoye

Assistant in quantitative methods.

UCLouvain Saint-Louis Bruxelles

Hugues Annoye is a researcher in statistics and machine learning, and a PhD student in statistics under the supervision of Cédric Heuchenne. He is also assistant in quantitative methods (mainly mathematics) at UCLouvain Saint-Louis Bruxelles. His research interests include statistics and data science. Hugues Annoye participates at the Beamm project, an effort to build an online open-acces comprehensive tax-benefit microsimulation model for Belgium.

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 and of the Royal Statistical Society of Belgium (RSSB).

Interests
  • Data science
  • Machine learning
  • Statistics
  • Statistical Matching
  • GAN
  • Microsimulation modelling
Education
  • 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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