University of Florida at ASHG 2026

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

University of Florida brings 5 presentations from 4 research groups to ASHG 2026 in Montréal. Its program centres on rare disease, cancer and computational genetics, with population and clinical genetics also represented. The Center for Genetic Epidemiology and Bioinformatics (GeneBio) brings genotype-stratified Bayesian analysis, the Fan Lab brings genomic language modeling, and the FeifeiXiao-Lab brings deep-learning detection of copy-number variation from exome data.

Organization	ASHG 2026 Attendance
University of Florida Gainesville, Florida	3 PIs · 1 PhD Student
Center for Genetic Epidemiology and Bioinformatics (GeneBio)genebio.phhp.ufl.edu Wet + dry lab~22 people Analyzes WGS, WES, EWAS, RNA-seq, lipidomics, metabolomics and metagenomics with statistical and bioinformatics methods. Applies them to aging and age-related diseases in large-scale human populations. Funded by NIH, UF Office of Research +1 more › NIH · active “Funding Agency: NIH” UF Office of Research · active “Funding Agency: UF Office of Research” NSF, Division of Mathematical Sciences (DMS) · active “Funding Agency: NSF Division of Mathematical Sciences (DMS)” Source: lab pages 14 platforms and techniques › Works with WGS, WES, EWAS, RNA-seq, Deep metagenomic sequencing, 5hmC-capture sequencing, Lipidomics, Metabolomics Techniques GWAS and eQTL mapping, Machine learning and deep learning, TET-assisted bisulfite sequencing, Targeted methylation sequencing, 3D brain organoids and human iPSCs, External exposome-wide association studies Source: lab pages Currently hiring › “invites applications for postdoctoral research associates, available immediately” Source: lab positions page	Poster Thu Oct 22 4:15 pm Part of Statistical Genetics and Genetic Epidemiology Poster Thursday Session Fast genotype-stratified Bayesian inference expands continuous-trait genetic association analysis beyond additive GWAS Exhibit & Poster Hall · Board 8387T Collaborators: University of Pittsburgh Statistical geneticsQuantitative traitGenetic variationGenome-wide association study
Fan Labxiaofan-lab.github.io Dry lab~7 people Applies computational and statistical methods to protein sequences, multiple sequence alignments and clinical genetic cohorts. Studies rare human diseases, variant pathogenicity and medical phenotypes. 144 papers since 2024 › Data Release 1 of the Dark Energy Spectroscopic Instrument The Astronomical Journal, 2026 The Early Data Release of the Dark Energy Spectroscopic Instrument The Astronomical Journal, 2024 Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument The Astronomical Journal, 2024 Source: OpenAlex author A5025532100 Funded by NIH › NIH, NIH Director’s New Innovator Award · active “Our lab received $2 million NIH Director’s New Innovator Award.” Source: lab pages 7 platforms and techniques › Techniques case-control association studies, machine learning methods, protein language models, supervised machine learning models, graph attention neural networks, base editing screens, germline rare variant burden testing Source: lab pages Currently hiring › “Openings are available for postdoc, graduate students and undergraduate students.” Source: lab positions page	Poster Thu Oct 22 4:15 pm Part of Artificial Intelligence and Machine Learning Poster Thursday Session CTW-guided Training of Genomic Language Modeling Exhibit & Poster Hall · Board 8057T Artificial intelligence
FeifeiXiao-Labgithub.com/FeifeiXiao-lab Dry lab Develops statistical and deep-learning methods for single-cell DNA-seq, RNA-seq, ATAC-seq and spatial omics. Targets personalized medicine for cancer and other common complex diseases. 16 papers since 2024 › Innate immune training in the neonatal response to sepsis Molecular Medicine, 2025 Multimodal functional deep learning for multiomics data Briefings in Bioinformatics, 2024 Spatial pattern and differential expression analysis with spatial transcriptomic data Nucleic Acids Research, 2024 Source: OpenAlex author A5086844078 Funded by NATL INST OF HLTH NIGMS, NATL INST OF HLTH NCI +5 more › NATL INST OF HLTH NIGMS, Renewal: Dysfunctional Myelopoiesis and Myeloid-Derived Suppressor Cells in Sepsis Pathobiology · August 1, 2026 “Renewal: Dysfunctional Myelopoiesis and Myeloid-Derived Suppressor Cells in Sepsis Pathobiology August 1, 2026 Active Funding: NATL INST OF HLTH NIGMS” NATL INST OF HLTH NCI, Modulation of Therapeutic Response in Lung Cancer by Tumor Suppressor LKB1 · July 1, 2026 “Modulation of Therapeutic Response in Lung Cancer by Tumor Suppressor LKB1 July 1, 2026 Active Funding: NATL INST OF HLTH NCI” NATL INST OF HLTH NIGMS, The Role of Brain-Bone Marrow-Gut Interaction following Major Trauma · September 10, 2024 “The Role of Brain-Bone Marrow-Gut Interaction following Major Trauma September 10, 2024 Active Funding: NATL INST OF HLTH NIGMS” +4 more on the lab page Source: lab pages 10 platforms and techniques › Analyzes single-cell DNA-seq, single-cell RNA-seq, ATAC-seq, spatial transcriptome data, SNP array data Techniques machine learning, deep learning, Mendelian randomization, copy number variation analysis, integrative multi-omics analysis Source: lab pages Currently hiring › “is accepting applications for a fully funded postdoctoral associate position” Source: lab positions page	Poster Thu Oct 22 4:15 pm Part of Artificial Intelligence and Machine Learning Poster Thursday Session CN-RNN: a Deep Learning Framework for Copy Number Variation Detection with Exome Sequencing Data Exhibit & Poster Hall · Board 8056T Genetic variation
Surgery Genomics Core Works in computational genetics and clinical genetics.	Poster Wed Oct 21 2:30 pm Part of Epigenomics Poster Wednesday Session Chromatin Accessibility and Gene Expression Integrative Analysis Can Identify Sepsis Outcome Associated Factors Exhibit & Poster Hall · Board 7048W BioinformaticsMulti-omics
1 more presenter — research group not yet identified

Instantly find 20 buyers from University of Florida

Get a list of who you should contact, their contact info, and what to say.

Totally free and instant, no sign up necessary!

Not affiliated with or endorsed by the American Society of Human Genetics. Submit a correction