Hugues Annoye

Hugues Annoye

Assistant in quantitative methods.

Université Saint-Louis - Bruxelles

Biography

Hugues Annoye is assistant in quantitative methods (mainly mathematics) at Université 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 Séminaire de mathématiques appliquées aux sciences humaines (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 Université Saint-Louis - Bruxelles.

He is also member of ISBA at UCLouvain (ISBA)

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

  • Master in Statistics, 2017

    UCLouvain

  • Master in Mathematics, 2016

    UCLouvain

  • Bachelor in Mathematics, 2014

    UCLouvain

News & posts

New homepage built in R blogdown and Hugo
Digital resurrection! I am happy to be back online with a new personal homepage. Building this website was a very pleasant experience, thanks to: The R Blogdown package
Last updated on Oct 28, 2021 1 min read R
Hello R Markdown
R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.
Last updated on Oct 28, 2021 1 min read R

Projects

 
 
 
 
 
Beamm project
Reserchear (Data team)
Beamm project
Jan 2019 – Present Brussels

Beamm is

  • a comprehensive tax-benefit microsimulation model
  • available online and in open-access
  • running on mostly administrative data
  • and a platform for scientific research and policy support
 
 
 
 
 
Beamm.brussels
Reserchear (Data team)
Beamm.brussels
Jan 2020 – Present Brussels

Beamm.brussels is

  • a project to built a comprehensive tax-benefit microsimulation model for the Brussels Capital Region
  • available online and in open-access at beamm.brussels (coming soon)
  • running on a micro-dataset representing the population of the Brussels Capital Region
  • focussing on tax-benefit competences of the Region
  • beamm.brussels is funded by Innoviris in the Prospective Research for Brussels program

Publications

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Hugues Annoye, Alessandro Beretta, Cédric Heuchenne (2021). Statistical Matching using KCCA and Super-OM.

Hugues Annoye, Alessandro Beretta, Cédric Heuchenne, Ida-Marie Jensen (2021). Statistical Matching using KCCA, MMLP and Autoencoders-CCA.

Hugues Annoye, Rainer von Sachs (Superviser) (2017). Master thesis, Confidence sets for (non)-linear wavelet estimation.

Hugues Annoye, Rainer von Sachs (Superviser) (2016). Master thesis, Méthodes d’approximation et de seuillage pour les estimateurs à ondelettes en régression non paramétrique.

Hugues Annoye, Jean Van Schaftingen (Superviser) (2014). Bachelor thesis, Les fonctions continues nulles part dérivables.

Contact

  • hugues.annoye@usaintlouis.be
  • Boulevard du Jardin botanique 43, Brussels, 1000
  • To find my office F5 in the Saint-Louis maze, enter the university via the parking in the Rue du Marais, enter the building at the corner of Rue du Marais and the Boulevard du Jardin botanique through the second door at the left, take the elevator to the 4th floor, climb to the 5th floor, and find office F5.
  • DM Me