Public Health and Health Professions
Lin Lab
Led by Zhoumeng Lin · Environmental and Global Health
What we study
The Lin Lab uses computer models like PBPK and AI to study how drugs, nanoparticles, and environmental chemicals affect animals and humans. They focus on nanomedicine, food safety, and chemical risk assessment.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Projects
- 3
- Papers
- 5
What we're looking for
“We are looking for self-motivated graduate and undergraduate students, postdocs, and visiting scholars to work with us.”
Current projects
PBPK models for drugs in food-producing animals
They are developing computer models to predict how drugs affect animals like cattle, chickens, and fish.
AI-assisted PBPK models for nanoparticles
They are using AI to create models for nanoparticles in healthy and tumor-bearing animals.
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PBPK models for environmental chemicals
They are building models for chemicals like PFAS in animals and humans of different ages.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- A unified multi-task transformer framework for predicting drug half-lives in plasma and tissues across six food-producing species
2026 · Future Foods
Uses a computer model to predict how long drugs stay in animal tissues across six species.
- Are similar nanoforms comparable in biodistribution? Data-driven approaches for optimizing nanomedicine design
2026 · Materials Today Nano
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- Analysis of Pharmacokinetic–Pharmacodynamic Relationships of Nanoparticles against Tumors
2026 · ACS Nano
Creates a database of nanoparticle PK-PD data to explore relationships between drug delivery and tumor response in mice.
- Artificial intelligence-assisted physiologically based pharmacokinetic modeling and large-scale machine learning analysis of tumor delivery of nanoparticles in mice
2026 · Materials Today Advances
Builds an AI model to predict nanoparticle tumor delivery efficiency based on physicochemical properties and experimental strategies.
- Applications of machine learning in assessing human dietary exposure to environmental chemical contaminants
2026 · Food and Chemical Toxicology
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Zhoumeng Lin hasn't set up this page yet. You can also look them up in the UF directory (search “Zhoumeng Lin”).