Sahar Zangeneh is a Research Statistician at RTI who specializes in various aspects of the design and analysis of complex sample surveys. She develops novel statistical methods for non-ignorable missing data, using both classical and modern statistical methods, including parametric and non-parametric likelihood-based and Bayesian methods as well as machine learning tools. She has received multiple awards for her methodological research from scientific communities such as the American Statistical Association, the International Society for Bayesian Statistics, and the Institute of Mathematical Statistics.
Before joining RTI in 2021, Dr. Zangeneh worked as a faculty biostatistician at the Vaccine and Infectious Disease Division at Fred Hutchinson Cancer Research Center, where she also completed her postdoctoral training. She conducted research for HIV and Covid-19 prevention and led the analysis of observational and interventional studies. In that capacity, she has developed and implemented research protocols for diverse domestic and international health projects.
Dr. Zangeneh is also a Clinical Instructor at the University of Washington in Seattle, where she teaches and engages in curriculum development for various graduate-level courses. She is a member of the American Statistical Association, Institute for Mathematical Statistics, the International Statistics Institute, International Society for Bayesian Analysis, and the Iranian Statistical Society. She is passionate about engaging in initiatives for fostering inclusion and diversity and promoting STEM fields in underrepresented and underserved students.