

We develop computational methods to understand microbial communities and host–microbe interactions. Our work spans metagenomics, amplicon sequencing, transcriptomics, and integrative multi‑omics. We partner closely with students across all levels to build open, reproducible pipelines and to validate discoveries through rigorous benchmarking.
Genomic data science miniCUREs, 1UE5HG013799-01
Modernizing biology curricula by developing accessible genomic data science miniCUREs for the AnVIL platform, NIH funded project. Our curriculum is available at www.C-MOOR.org.

USDA collaboration, Poultry Sciences
This project working with collaborators at the USDA's Animal Biosciences and Biotechnology Laboratory (ABBL) to study how microbiomes impact health and disease in poultry populations.

BioDIGS Collaboration, BioDIGS is featured at Notre Dame of Maryland University
BioDIGS (BioDiversity and Informatics for Genomics Scholars) is a massive, nationwide scientific research initiative and educational consortium focused on mapping the United States soil microbiome. By analyzing soil biodiversity, the project helps scientists understand connections between the environment, microbial ecosystems, and human health.

Smithsonian Environmental Research Center (SERC) Collaboration
This project works with researchers in the coastal disease ecology lab to better understand the microbiomes that exists in coastal waterways and their role in harboring antibiotics resistance genes.

Microbiome projects in the BMORE Lab
The BMORE lab hosts rotating microbiome research projects studying how microbiomes are involved with disease and health in various living systems.

2026 — BioDIGS Consortium, Alberts, T., Albritton, C. F., Alcazar, R., Aljabri, Z., … Zirkle, L. (2026). Unearthing soil biodiversity through collaborative genomic research and education. Nature genetics, 58(1), 3–8. https://doi.org/10.1038/s41588-025-02442-5
2025 —Ekalle, G., York, S., Gerard, M., & Kerr, J. (2025). Association Between Vaginal Community States and Preeclampsia Status in Pregnant Individuals. bioRxiv : the preprint server for biology,
2025.09.18.677097. https://doi.org/10.1101/2025.09.18.677097
2024 — Pomeroy AE, Bixler A, Chen SH, Kerr JE, Levine TD and Ryder EF (2024) “R” U ready?: a case study using R to analyze changes in gene expression during evolution. Front. Educ. 9:1379910. https://doi.org/10.3389/feduc.2024.1379910
More publications coming soon.