Yiyang Liu,
Research Assistant Professor
About Yiyang Liu
I see myself as an epidemiologist and data scientist specializing in HIV and substance use research. I have rich experience working with OneFlorida+ (OneFL) electronic health records (EHR) and contributed to several HIV-related projects using OneFL EHRs. In one of my first-authored papers, I have developed and validated a rule-based HIV computable phenotype algorithm that leverages the multi-domain structured electronic health record (EHR) data and has identified over 70k patients with confirmed HIV diagnoses. Building on this virtual HIV cohort, I have been awarded an industry fund as a primary investigator (PI) to examine long-acting HIV antiretroviral therapy uptake among people with HIV. Additionally, I have participated as a co-investigator on a UF Clinical and Translational Science Institute (CTSI) pilot grant and led efforts in one of the aims to identify and characterize PrEP users using OneFL EHRs. I am currently preparing an R34 grant aiming to build an EHR-based HIV prediction model to better identify patients who might benefit from PrEP, especially among women.
Teaching Profile
Board Certifications
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Great Teaching for New Faculty CertificateUF Center for Teaching Excellence
Research Profile
0000-0002-5519-3853
- Alcohol and substance use
- HIV
- HIV Prevention
- Mental Health
- data science
- electronic health records
Publications
Grants
Education
Contact Details
- Business:
- (352) 273-5468
- Business:
- yliu26@ufl.edu
- Business Mailing:
-
PO Box 100231
GAINESVILLE FL 32610 - Business Street:
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2004 MOWRY RD
GAINESVILLE FL 32610