Simon Gravel

Our group is interested in learning about biology and evolution through creative analysis of high-throughput biological data. We develop mathematical and statistical methods that take advantage of diverse data sources to refine our understanding of fundamental parameters of human history and biology. Our recent research has focused on how the history of diverse human populations affected patterns of genetic diversity and disease. We have made contributions about the origins of modern humans, the successive waves of migrations that led to the formations of contemporary populations in the Americas, as well as the identification of genetic predispositions for disease.

This research is largely data-driven, and it combines modeling at multiple levels: we first wish to understand the fundamental biology underpinning evolution, such as the processes of mutation, recombination, and selection. To understand human genomes, we also need to understand how recent and ancient human history affected patterns of genetic diversity: ancient population expansions, recent migrations, and marriage patterns all impact genomic diversity, and in many cases we can reconstruct these events through careful modelling. Finally, we need to understand the behavior of cutting edge technology involved in the latest datasets.