ASHG 2026 · Tier 1 Academic

Cornell University at ASHG 2026

Name: ASHG 2026 Annual Meeting
Start: 2026-10-20
End: 2026-10-24
Location: Montréal

Ithaca, New York

Cornell University at ASHG 2026 in Montréal: 6 presentations (5 posters, 1 platform talk); 3 research groups.

presentations on the program

research groups identified

sessions invited to or moderated

Reviewers’ Choice abstracts

Explore everyone at ASHG 2026 →

Organization	ASHG 2026 Attendance
Cornell University Ithaca, New York	4 PhD Students · 1 Undergrad · 1 PI
Wei Labaprilweilab.github.io Dry lab~13 people Develops computational genetics methods using massive genomic datasets and genotype representation graphs. Studies demographic history, natural selection, complex traits and gene conversion. Funded by NIH, NSF › NIH · active “Our research is currently supported by both NIH and NSF.” NSF · active “Our research is currently supported by both NIH and NSF.” Source: lab pages 6 platforms and techniques › Analyzes Genotype Representation Graphs (GRG), Genotype Representation Graph Library (GRGL) Techniques Graph-based computational methods, GWAS, PCA, Ancestral recombination graph analysis Source: lab pages No openings posted	Talk Wed Oct 21 11:45 am A new statistical test for detecting multiple modes of positive selection from ancestral recombination graphs Detecting Human Adaptation: Methods, Drivers, and Health Impacts of Natural Selection Natural selectionGenetic variationEvolutionPopulation genetics Poster Wed Oct 21 2:30 pm General, orders-of-magnitude faster whole-genome analysis with genotype representation graphs Statistical Genetics and Genetic Epidemiology Genome-wide association studyPopulation structureRare variantsComputational tools Poster Wed Oct 21 2:30 pm ★ Reviewers’ Choice Scalable Genotype Imputation via Random Projection on Genotype Representation Graphs Evolutionary and Population Genetics Computational toolsLarge-scale biobanksRare variantsGenetic variation Poster Thu Oct 22 4:15 pm Whole-genome ridge regression improves polygenic score prediction and genotype-phenotype mapping in biobanks Statistical Genetics and Genetic Epidemiology Collaborators: Carnegie Mellon University Polygenic risk scoreStatistical geneticsGenotype-phenotype correlationsLarge-scale biobanks
Messer Labmesserlab.org Wet + dry lab~11 people Combines computer simulations, laboratory experiments and genomic data from natural and experimental populations. Studies rapid evolution, population genetics and CRISPR gene drives. 24 papers since 2024 › SLiM 5: Eco-evolutionary Simulations Across Multiple Chromosomes and Full Genomes Molecular Biology and Evolution, 2025 Germline Cas9 promoters with improved performance for homing gene drive Nature Communications, 2024 Population dynamics in spatial suppression gene drive models and the effect of resistance, density dependence, and life history bioRxiv (Cold Spring Harbor Laboratory), 2024 Source: OpenAlex author A5091749822 Funded by Gordon and Betty Moore Foundation, Simons Foundation › Gordon and Betty Moore Foundation, Gordon and Betty Moore postdoctoral fellow cohort at Cornell · active “The position is fully funded for at least two years by grants from the Gordon and Betty Moore Foundation” Simons Foundation · active “The position is fully funded for at least two years by grants from the Gordon and Betty Moore Foundation and the Simons Foundation” Source: lab pages 7 platforms and techniques › Runs SLiM Techniques CRISPR gene drives, Hard and soft selective sweeps, Selection inference from population genomic data, Machine learning, Gene drive modeling, Spatial population genetics Source: lab pages Currently hiring › “The Messer Lab is recruiting a postdoctoral researcher” Source: lab positions page	Poster Wed Oct 21 2:30 pm Estimating the distribution of selection and dominance coefficients of genetic variants from the UK Biobank Molecular Effects of Genetic Variation Large-scale biobanksNatural selectionPopulation genetics
Musharoff Research Labmusharofflab.github.io/index.html Dry lab~9 people Studies human disease architecture with GWAS, polygenic scores, EHRs and statistical genetics. Focuses on ancestry, demographic history and gene-environment effects in diverse populations. 7 papers since 2024 › Advances and opportunities for computational interrogation of plant proteins The Plant Journal, 2026 Breast cancer polygenic risk score performance varies by socioeconomic status medRxiv, 2026 Social Factors of Health Covary with Population Stratification and Confound Heritability Estimates bioRxiv (Cold Spring Harbor Laboratory), 2025 Source: OpenAlex author A5066486941 12 platforms and techniques › Analyzes Genome-wide association studies (GWAS), Electronic Health Records (EHRs), Structure software, Principal Component Analysis (PCA), Hidden Markov Models Techniques Population genetics, Statistical genetics, Polygenic scores, Gene-environment interactions, Machine learning, Coalescent theory, Admixture analysis Source: lab pages Currently hiring › “We are always on the lookout for motivated postdoctoral fellows” Source: lab positions page No funding stated	Moderator Thu Oct 22 11:00 am Polygenic Risk Score: From Modeling to Clinical Decision
1 more presenter — research group not yet identified

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