BIO

Z. Tuba Suzer-Gurtekin is an Associate Research Scientist at the University of Michigan’s Institute for Social Research. Her research includes managing monthly surveys of consumer attitudes, expectations and behavior and developing estimation methods that can improve the reliability of the low response rate probability sample surveys. Her published research focuses on methods to quantify nonresponse and measurement survey errors in probability and nonprobability sample surveys, and mixed-mode survey design and inference. Her research experience has included development of alternative sample, methodology and questionnaire designs, data collection and analysis methods for a general population in parallel survey modes. She also teaches Statistical Methods and Machine Learning at the Michigan Program in Survey and Data Science. She also serves on the Board of Associate Editors of CDC’s Preventing Chronic Disease journal and Journal of Survey Statistics and Methodology. She also serves as an adjunct faculty in the Michigan Program in Survey and Data Science.