Harvard T.H. Chan School of Public Health at ASHG 2026

Oct 20–24, 2026 Montréal, Canada ~7.5k attendees Website

Harvard T.H. Chan School of Public Health brings 6 presentations from 4 research groups to ASHG 2026 in Montréal. Its program at this meeting centres on cancer, population genetics, and computational approaches to human disease. The Quackenbush Lab examines biological complexity in sex, aging, health, and disease, the Liang Lab studies polygenic disease associations in individual cells, and the Lin Lab presents integrative genomics of immune regulation across infection, inflammation, and lifespan.

Organization	ASHG 2026 Attendance
Harvard T.H. Chan School of Public Health Boston, Massachusetts	2 PIs · 1 PhD Student · 1 Postdoc · 1 Staff Scientist
Quackenbush Labcompbio.dfci.harvard.edu Wet + dry lab Uses genome and exome sequencing, ChIP-seq, RNA-seq, single-cell RNA-seq and integrated genomic data. Studies gene-regulatory networks in cancer and human disease. 62 papers since 2024 › Gene regulatory networks reveal sex difference in lung adenocarcinoma Biology of Sex Differences, 2024 Biologically informed NeuralODEs for genome-wide regulatory dynamics Genome biology, 2024 Sex-Biased Regulation of Extracellular Matrix Genes in Chronic Obstructive Pulmonary Disease American Journal of Respiratory Cell and Molecular Biology, 2024 Source: OpenAlex author A5084245470 Funded by National Institutes of Health, National Cancer Institute › National Institutes of Health “All of my research has been funded by grants—nearly all from the National Institutes of Health (NIH).” National Cancer Institute, NCI Career Award “He recently received an NCI Career Award (1R35CA220523).” Source: lab pages 12 platforms and techniques › Analyzes genome sequencing, exome sequencing, ChIP-Seq, RNA-Seq, small RNA-Seq, single-cell RNA-Seq, highly multiplexed targeted resequencing Techniques systems methods, gene regulatory network analysis, multi-omics protein signaling networks, PANDA, PHOENIX Source: lab pages No openings posted	Symposium Wed Oct 21 8:20 am Part of Genomics of Sex Differences and Reproductive State Across the Life Course: Context, Timing, and Biological Transitions Altered states: Biological complexity in sex, aging, health, and disease Room 511/Level 5 Symposium Wed Oct 21 8:52 am Part of Autism Genetics: Integrating Biological Insights with Societal Impacts Personalized medicine and ethical intervention targets: A trait-centric approach to autism genomics research Room 520ABDE/Level 5
Liang Labhsph.harvard.edu/research/liang-lab Dry lab~7 people Develops computational tools for metabolomics, DNA methylation and other multi-omics data. Uses longitudinal cohorts to model disease risk and intervention benefit. 105 papers since 2024 › Optimal dietary patterns for healthy aging Nature Medicine, 2025 Integration of epidemiological and blood biomarker analysis links haem iron intake to increased type 2 diabetes risk Nature Metabolism, 2024 Urinary tartaric acid as a biomarker of wine consumption and cardiovascular risk: the PREDIMED trial European Heart Journal, 2024 Source: OpenAlex author A5050464646 Funded by Harvard, Harvard +1 more › Harvard, Genomics Training Grant · active “I can also advise students supported by the following training grants at Harvard: Genomics Training Grant” Harvard, Psychiatric Epidemiology and Biostatistics Training Grant · active “Psychiatric Epidemiology and Biostatistics Training Grant” Harvard, Nutrition Training Grant with genomics research · active “Nutrition Training Grant with genomics research” Source: lab pages 12 platforms and techniques › Analyzes DNA methylation, metabolomics, proteomics, RNA-Seq, single-cell RNA-Seq Techniques GWAS, polygenic risk scores, machine learning, causal inference, epigenome-wide association studies, mass spectrometry, dietary biomarker discovery Source: lab pages Currently hiring › “We welcome applications from MS or PhD students from Harvard schools.” Source: lab positions page	Poster Wed Oct 21 2:30 pm Part of Molecular Effects of Genetic Variation Poster Wednesday Session Polygenic disease association of individual cells in single-cell ATAC-seq data Exhibit & Poster Hall · Board 6056W Genome-wide association studySingle-cell
Lin Labhsph.harvard.edu/research/lin-lab Dry lab~11 people Develops statistical and machine-learning methods for whole-genome sequencing, multi-omics, biobank and phenotype data. Uses them for complex-disease risk, causal inference and functional variant analysis. 69 papers since 2024 › Accelerated biological aging elevates the risk of cardiometabolic multimorbidity and mortality Nature Cardiovascular Research, 2024 Deciphering the impact of genomic variation on function Nature, 2024 Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height Nature Communications, 2024 Source: OpenAlex author A5030660111 Funded by National Cancer Institute (NCI), National Heart, Lung, and Blood Institute +2 more › National Cancer Institute (NCI), Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research · 2015-2029 “Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer Research (2015-2029) – the National Cancer Institute (NCI)” National Heart, Lung, and Blood Institute, Statistical Methods for Integrative Analysis of Large-Scale Multi-Ethnic Whole Genome Sequencing Studies and Biobanks of Common Diseases · active “Statistical Methods for Integrative Analysis of Large-Scale Multi-Ethnic Whole Genome Sequencing Studies and Biobanks of Common Diseases – the National Heart, Lung, and Blood Institute” National Human Genome Research Institute (NHGRI), Impact of Genomic Variation on Function (IGVF) · active “Impact of Genomic Variation on Function (IGVF) – Program of the National Human Genome Research Institute (NHGRI)” +1 more on the lab page Source: lab pages 11 platforms and techniques › Analyzes Whole-genome sequencing, Whole-exome sequencing, Single-cell RNA-sequencing, IGVF single-cell multiomic data Techniques Variant functional annotation, Polygenic risk prediction, Mendelian randomization, Causal mediation analysis, Single-cell genomics, Generative AI, Rare variant analysis Source: lab pages Currently hiring › “Postdoctoral Research Position in Statistical Genetics and Genomics” Source: lab positions page	Session Thu Oct 22 1:30 pm Integrative Genomics of Immune Regulation Across Infection, Inflammation, and the Lifespan Room 710A/Level 7
Statistical Geneticsresearch.pasteur.fr/en/team/statistical-genetics Research group. 34 papers since 2024 › Smoking changes adaptive immunity with persistent effects Nature, 2024 An approach to identify gene-environment interactions and reveal new biological insight in complex traits Nature Communications, 2024 Genome-wide discovery for biomarkers using quantile regression at biobank scale Nature Communications, 2024 Source: OpenAlex author A5036406065	Symposium Fri Oct 23 8:15 am Part of Emergence of Complex Traits at the Intersection of Genomics, Exposomic, and Time Introduction Room 511/Level 5 Symposium Fri Oct 23 9:40 am Part of Emergence of Complex Traits at the Intersection of Genomics, Exposomic, and Time Closing remarks Room 511/Level 5
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