Genomics Beyond Boundaries
Launching at UdeM
Our lab uses powerful computational methods to map how genetic information spreads across landscapes and generations.
Our Research
Our lab explores how geography and population history shape genetic variation. We develop innovative computational methods to study spatial patterns of ancestry across species, enhancing our understanding of evolution, human history, and biodiversity.
- Spatial analysis of genetic variation: Quantifying how geographic features influence gene flow and population structure.
- Ancestral recombination graphs (ARGs): Developing computational tools to reconstruct genealogies and ancestry paths.
- Population-scale genealogical modeling: Bridging genealogical records with genomic data to study evolutionary dynamics.
- Applications to conservation biology: Using genetic methods to inform strategies for endangered species.
- Human genetic diversity and history: Uncovering migration and demographic events that shape human genetic variation.
From geography to genomes
Our lab explores how geography and population history shape genetic variation. We develop innovative computational methods to study spatial patterns of ancestry across species, enhancing our understanding of evolution, human history, and biodiversity.
Spatial analysis of genetic variation
Quantifying how geographic features influence gene flow and population structure.
Ancestral recombination graphs (ARGs)
Developing computational tools to reconstruct genealogies and ancestry paths.
Population-scale genealogical modeling
Bridging genealogical records with genomic data to study evolutionary dynamics.
Applications to conservation biology
Using genetic methods to inform strategies for endangered species.
Human genetic diversity and history
Uncovering migration and demographic events that shape human genetic variation.
Meet the Team
Luke Anderson-Trocmé
Principal Investigator
Brian
Lab Mascot / Wellness Officer
This could be you!
Open positions coming soon
News & Updates
- New paper in Genetics (January 2026) Our paper on ARGs, pedigrees, and genetic relatedness matrices is now published in Genetics.
- Quebec reference panel published (January 2026) A multi-ancestry genetic reference for the Quebec population is now out in Nature Communications.
- Lab launch (August 2025) The Anderson-Trocmé Lab officially opens at Université de Montréal.
- Hello World! (May 2025) Our lab website is now live. Stay tuned for updates on upcoming research projects, opportunities, and more!
Contact
Email: luke[dot]anderson-trocme[at]umontreal[dot]ca
Address:
Département de biologie, Université de Montréal,
Campus MIL, bureau B-5411