Public Health and Health Professions

Liu Lab

Led by Yiyang Liu · Epidemiology

Auto-generated from UF undergraduate research symposium abstracts

What we study

The Liu Lab uses data science and AI to study HIV and substance use, analyzing electronic health records and surveillance data to improve prevention and care. They focus on outcomes like viral suppression and stigma, applying machine learning and causal modeling.

What working here is like

  • Computational
  • Coding required
Projects
2
Papers
4

Current projects

Precision HIV Prevention: Piloting a youth learning health community

A project using real-world data to improve HIV prevention for youth.

AI-based Clinical decision support to idenTify wOmeN for HIV testing and PrEP in Florida (ACTION-HIV)

An AI tool to identify women for HIV testing and PrEP in Florida.

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 2 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

Yiyang Liu hasn't set up this page yet. Their UF Scholars profile lists their publications.

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Open positions

No positions posted right now. Many labs still take undergrads who reach out to them, so see how to get in touch.
Liu Lab · Yiyang Liu | JoinLattice