معرفی
Dr. Ying Huang is an Affiliate Professor in the Biostatistics Program at the University of Washington and a member of the Fred Hutchinson Cancer Research Center's Public Health Sciences and Vaccine and Infectious Disease Divisions. Her research focuses on statistical methods for biomarker evaluation, causal inference, and survival analysis with applications in cancer and infectious disease studies. She holds leadership roles in HIV/AIDS clinical trials networks and the Seattle Dietary Biomarker Development Center. Huang earned her PhD in Biostatistics from the University of Washington and MS degrees in Molecular Biology and Statistics from Iowa State University.
Her work emphasizes biomarker development for disease screening, surrogate endpoint identification, and treatment selection. Notable contributions include methods for analyzing repeated low-dose challenge experiments and improving biomarker selection efficiency in clinical trials. Huang leads the Huang Group, which develops statistical tools for precision medicine applications, including AUC maximization algorithms and R packages like aucm and rld.
Current projects include statistical methodologies for efficacy trials of vaccines and monoclonal antibodies, cancer screening networks, and translational data science initiatives. She collaborates extensively with the HIV Vaccine Trials Network and the Fred Hutch/University of Washington/Seattle Children's Cancer Consortium.
