Hugues Annoye

Hugues Annoye

Assistant in quantitative methods.

UCLouvain Saint-Louis Bruxelles

Biography

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)

News & posts

YRD : Wasserstein GAN
Seminar at YRD ! On Friday, February 9, 2024, I presented my research at Young Research Day in Louvain-la-Neuve. My presentation was entitled: Generating administrative data bases with Wasserstein GAN.
Last updated on Feb 12, 2024 1 min read Beamm
SV-seminarie microsimulations
Seminar at Statistics Flanders ! On Monday, October 23, 2023 Statistics Flanders is organizing a seminar on microsimulations. Microsimulation is a technique that allows modeling future changes in complex social phenomena based on the behavior of individual units, such as individuals and households.
Last updated on Feb 12, 2024 1 min read Beamm
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 26, 2023 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 26, 2023 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

Quickly discover relevant content by filtering publications.
Hugues Annoye, Alessandro Beretta, Cédric Heuchenne, Ida-Marie Jensen (2024). Statistical Matching using Autoencoders-Canonical Correlation Analysis, Kernel Canonical Correlation Analysis and Multi-output Multilayer Perceptron.

Hugues Annoye, Alessandro Beretta, Cédric Heuchenne (2024). Statistical matching using kernel canonical correlation analysis and super-organizing map. Expert Systems with Applications.

DOI

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 nulle part dérivables.

Contact

  • hugues.annoye@uclouvain.be
  • +32 / (0)2 792 35 82
  • Boulevard du Jardin botanique 43, Brussels, 1000
  • To find my office E6 in the Saint-Louis maze, enter the university via the parking in the Rue du Marais, enter the building 38 at the corner of Rue du Marais and the Boulevard du Jardin botanique through the second door at the left, take the elevator or climb to the 4th floor, and find office E6.
  • DM Me