Author

Camille Rochefort-Boulanger

Montreal Heart Institute

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Bioinformatics· 1

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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

Jean‐Christophe GrenieriD· 1 shared Julie HussiniD· 1 shared Matthew SciclunaiD· 1 shared Pierre Luc Carrier· 1 shared Raphaël PoujoliD· 1 shared Sébastien LemieuxiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Jean‐Christophe GrenierORCID

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1 paper

Recent·Most cited

BioinformaticsThe American Journal of Human GeneticsPeer-reviewedJul 1, 2026

A Transparent and Generalizable Deep Learning Framework for Genomic Ancestry Prediction

Camille Rochefort-Boulanger, Matthew Scicluna, Raphaël Poujol…·Julie Hussin

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

DOI 10.1016/j.ajhg.2026.06.003

humanwhole-genome sequencing

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