Public Health and Health Professions
Chen Lab
Led by Li Chen · Biostatistics
What we study
The Chen Lab develops deep learning and statistical methods for analyzing large-scale multi-omics data, such as genetics and single-cell genomics. They apply these tools to study aging, cancer, and integrate multi-omics data with imaging and electronic health records.
What working here is like
- Computational
- Coding required
- Papers
- 4
Recent papers, explained
- Mass Spectrometry-Based Spatial Imaging of the Cochlea
2026 · Journal of the American Society for Mass Spectrometry
Developed a method to map chemical changes in the inner ear, helping to understand hearing loss.
- Skeletal muscle transcriptomic profile of older adults with high-impact musculoskeletal pain in the study of muscle, mobility and aging (SOMMA)
2026 · Molecular Pain
Studied muscle gene activity in older adults with severe pain, finding differences in pain impact.
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- Hyperglycosylation is a metabolic driver of Alzheimer’s disease
2026 · Nature Metabolism
Discovered higher sugar attachment to proteins in Alzheimer’s disease, suggesting a new metabolic link.
- Plasma levels and peripheral DNA methylation of IGF-1 and IGF-2 across knee osteoarthritis pain phenotypes in middle-aged and older adults
2026 · Neurobiology of Pain
Examined blood levels and gene activity of growth factors in people with knee pain and osteoarthritis.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Li Chen hasn't set up this page yet. Their UF Scholars profile lists their publications.