Hugues Annoye

Hugues Annoye

Postdoctoral researcher

UCLouvain Saint-Louis Bruxelles

Biography

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
  • 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)

News & posts

EDT Day from the EDT Stat-Actu
This Friday, March 28, I’ll be presenting my research at EDT Stat-Actu’s EDT Day. My presentation is entitled: BEAMM project: How do we deal with data? Statistical matching and WGAN generation.
Last updated on Mar 27, 2025 1 min read Beamm
Naxys
This Thursday, March 27 at 1pm I’m giving a seminar at the Naxys center of the University of Namur. It is entitled: BEAMM project: How do we deal with data?
Last updated on Mar 27, 2025 1 min read Beamm
Midi du Corsci - Workshop LaTeX Overleaf
On Monday December 2, 2024, I gave a workshop on Latex and Overleaf with Astrid Adam as part of the ‘’Midi du Corsci’’ seminar series. The seminar consisted of a basic introduction to Latex and Overleaf, followed by a practical session.
Last updated on Dec 3, 2024 1 min read corsci
EFRO-FEDER Funding for Beamm.brussels
FEDER We are very happy to share that the Brussels Capital Region has decided to endow our Beamm.brussels project with European Fund for Regional Development (EFRO-FEDER) funding. This will allow us to accelerate the development of our Beamm.
Last updated on Oct 8, 2024 1 min read Beamm
NBB Data Academy: BEAMM - online open-access microsimulation modeling
Seminar at nbb ! On Thursday, April 25 2024,I presented a seminar at the Data Academy of the National Bank of Belgium. It was a joint talk with Tom Truyts.
Last updated on Mar 6, 2025 1 min read Beamm
See all posts

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, Cédric Heuchenne (Advisor) (2024). Thesis, Statistical matching and data generation.

Hugues Annoye, Cédric Heuchenne (2024). Generating survey databases with Wasserstein Generative Adversarial Networks.

Hugues Annoye, Alessandro Beretta, Cédric Heuchenne (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.

See all publications

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