# Olivier Caelen

Olivier Caelen is an Associate Professor in Statistics and Machine Learning at UCLouvain, within the Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA) and LIDAM.

Canonical website: https://oliviercaelen.be/
Official profile: https://www.uclouvain.be/en/people/olivier.caelen
Google Scholar: https://scholar.google.com/citations?user=mCkmgwIAAAAJ&hl=fr
LinkedIn: https://www.linkedin.com/in/oliviercaelen/
ORCID: https://orcid.org/0000-0001-6970-9825

Research interests:
- Statistical machine learning
- Model calibration and uncertainty quantification
- Causal inference and causal discovery
- Fairness in statistical learning
- Anomaly detection in high-dimensional data
- Deep neural networks

Teaching:
- LPSP1306 - Statistics: descriptive analysis and GLM multivariate data modeling
- LSTAT2110 - Data Analysis
- LDATS2350 - Data Mining

Book:
- Olivier Caelen and Marie-Alice Blete. Developing Apps with GPT-4 and ChatGPT, 2nd edition. O'Reilly Media, October 2024. ISBN 9781098152482.

The main webpage is index.html. Publications are listed in descending order from 47 to 1 in the Publications section.