Assistant Professor, Cancer Prevention Program
Public Health Sciences Division, Fred Hutch
Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch
Dr. Meisner’s interests include the development of novel methods for utilizing polygenic risk scores and using biomarker combinations for risk prediction. Prior to joining Cancer Prevention, Dr. Meisner worked in the Vaccine and Infectious Diseases Division at Fred Hutch, where she focused on HIV prevention trials, including work with the HIV Prevention Trials Network (HPTN) and implementation studies in sub-Saharan Africa. She was also involved with trials of both COVID-19 and tuberculosis diagnostic tests.
Affiliate Faculty
Department of Global Health, University of Washington
Johns Hopkins University Department of Biostatistics, Postdoctoral fellow, 2020
University of Washington, 2017, PhD (Biostatistics)
Boston University, 2011, MA (Biostatistics)
University of Connecticut, 2008, BS (Biomedical Engineering)
Risk prediction
Biomarkers
Causal inference
SMART designs
Treatment selection
The Effect of Pharmacy-Delivered PrEP Services on Reach and Access in Kenya
Evaluation of Stepped PrEP Adherence Support for Young South African Women Using a SMART Design
PrEP-aring Family Planning Clinics to Streamline Integration of HIV Prevention Services for Young Women in Kenya
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