Author

Pierre Luc Carrier

Mila - Quebec Artificial Intelligence Institute

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Camille Rochefort-Boulanger· 1 shared Jean‐Christophe GrenieriD· 1 shared Julie HussiniD· 1 shared Matthew SciclunaiD· 1 shared Raphaël PoujoliD· 1 shared Sébastien LemieuxiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Camille Rochefort-Boulanger

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1 paper

Recent·Most cited

A Transparent and Generalizable Deep Learning Framework for Genomic Ancestry Prediction

Camille Rochefort-Boulanger, Matthew Scicluna, Raphaël Poujol, Jean‐Christophe Grenier, Pierre Luc Carrier, Sébastien Lemieux, Julie Hussin

This paper develops a deep learning framework for genomic ancestry prediction that is generalizable across diverse populations and interpretable using attribution techniques.

The American Journal of Human Genetics · Jul 1, 2026Peer-reviewedBioinformatics