You can find most of the lab articles on Simon Gravel's Google Scholar profile.
Some selected publications:
AP Ragsdale et al, "A weakly structured stem for human origins in Africa", Nature 617, 755 (2023)
Exploring the origins of modern humans. Media coverage: NYT Nat Geo, Nature Ecology and Evolution, Le Figaro Smithsonian Magazine, reuters
L Anderson-Trocmé et al, "Genes, Genealogies, and geographies of Quebec", Science 380, 849 (2023)
Exploring the emergence of population structure in Quebec. Version française ici!. Media coverage: La Presse, Les années Lumière, Radio-Canada, tout un matin, Québec Science, Le figaro, Science et avenir
S. Zabad, S. Gravel, Y. Li "Fast and Accurate Bayesian Polygenic Risk Modeling with Variational Inference." AJHG. 110, 1 (2023)
A variational approach to polygenic risk prediction, implemented as the VIPRS software.
A. Diaz-Papkovich, L. Anderson-Trocmé, C. Ben-Eghan, S. Gravel (2019). "UMAP reveals cryptic population structure and phenotype heterogeneity in large genomic cohorts." PLoS Genet. 15(11): e1008432. https://doi.org/10.1371/journal.pgen.1008432.
A method of dimensionality reduction and visualization of population genetic data.
A.P. Ragsdale, S. Gravel, (2019). "Models of archaic admixture and recent history from two-locus statistics." PLoS Genet. 1008204.
A likelihood approach to infer complex demographic models using two-locus statistics
J. Jouganous, W. Long, A.P. Ragsdale, S. Gravel, (2017). "Inferring the Joint Demographic History of Multiple Populations: Beyond the Diffusion Approximation ." Genetics 206 (3).
Recursion equations help infer demographic models from allele frequency data