Herbert Wertheim College of Engineering
Graim Lab
Led by Kiley Graim · Computer and Information Science and Engineering
What we study
The Graim Lab develops computational tools to analyze large-scale genomic data, focusing on human diseases. They use machine learning models to study cancer evolution and biological mechanisms.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 4
What we're looking for
“Graduate level researchers should send an introductory email, and undergraduate researchers should apply through this google form.”
Current projects
Evolution of cancer across mammalia
Designing machine learning models to study cancer evolution using data from ~250 species.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Urinary Extracellular Vesicles for High‐Precision Bladder Cancer Subtyping and Prognosis
2026 · Journal of Extracellular Biology
Uses AI to analyze urine samples for bladder cancer subtypes and survival.
- Leveraging dog models to uncover human cancer insights
2026 · BMC Cancer
Compares dog and human cancer genes to find shared disease clues.
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- Nanomaterial isolated extracellular vesicles enable high precision identification of tumor biomarkers for pancreatic cancer liquid biopsy
2025 · Journal of Nanobiotechnology
Develops a method to isolate and study tiny cancer cells in blood.
- Transcriptomic Analyses of Normal Human Pancreata Reveal the Presence of Cancer Subtypes that Correlate with Acinar Ductal Metaplasia and Donor Ancestry
2025 · Cancer Research Communications
Finds two normal pancreas gene groups linked to cell changes and ancestry.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Kiley Graim hasn't set up this page yet. You can also look them up in the UF directory (search “Kiley Graim”).