Public Health and Health Professions
Bacher Lab
Led by Rhonda Bacher · Biostatistics
What we study
The Bacher Group develops statistical methods and software for genomics, epigenomics, and biomedical research. They use machine learning to study how molecular traits change due to stress, aging, or disease.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 5
Current projects
Resolving single-cell analysis challenges via data-driven decision frameworks and novel statistical methods
Creating new statistical methods to improve single-cell analysis.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Bootstrap-enhanced regularization addressing multicollinearity and skewness in high-dimensional immunophenotyping data
2026 · BMC Bioinformatics
Tests a method to improve statistical analysis of high-dimensional biomedical data by addressing multicollinearity and skewness.
- Immune dysregulation and stem-like CD8+ T cell enrichment in type 1 diabetes pancreatic lymph nodes
2026 · Journal of Clinical Investigation
Finds stem-like CD8+ T cells and inflammation in type 1 diabetes pancreatic lymph nodes.
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- What is the future of genomic foundation models in biological research?
2026 · Cell Systems
- Type 1 diabetes SIRPG risk variants increase SIRPγ expression and CD47 loss enhances CD8+ T cell cytotoxicity
2026 · npj Autoimmunity
Shows how type 1 diabetes risk variants affect T cell function and CD47 signaling.
- Longitudinal Changes in Exocrine Biomarkers in Children at Risk of Type 1 Diabetes in the ENDIA Study
2026 · Diabetes Care
Tracks changes in exocrine biomarkers over time in children at risk of type 1 diabetes.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Rhonda Bacher hasn't set up this page yet. Their UF Scholars profile lists their publications.