Public Health Sciences Division, Fred Hutch
With the goal of improving patient outcomes, Dr. Yingqi Zhao’s work focuses on developing novel statistical and machine learning methods for personalized medicine, dynamic treatment regimes, disease screening and surveillance, clinical trial design, and electronic health records. Specific applications of her work include improving cancer immunotherapy trial design and analysis, early detection of cancer, health care delivery for complex Type 2 diabetes patients, and childhood obesity surveillance. Dr. Zhao collaborates with the Fred Hutch–based Statistics and Data Management Center for the SWOG Cancer Research Network and Early Detection Research Network.
Ph.D., Biostatistics, University of North Carolina Chapel Hill, 2012
B.S., Statistics, Wuhan University, 2006
Statistical methods for personalized medicine, dynamic treatment regimes and survival analysis using data from both clinical trials and complex observational studies.