Summary
Jiazhi Yang is a statistician with eight years of experience applying survey methodology and data science to large-scale research projects, currently contributing to the AmeriSpeak panel at NORC at the University of Chicago. With an MS in Survey and Data Science from the University of Michigan and a dual BS in Computer Science and Sociology from UW–Madison, Jiazhi blends rigorous training in sampling, weighting, and variance estimation with practical coding skills in Python and Stata. Prior work includes machine-learning–driven nonresponse adjustment for USDA FoodAPS and simulation and geospatial linkage projects at the University of Michigan’s Institute for Social Research. Comfortable at the intersection of quantitative methods and real-world data collection, Jiazhi brings both methodological depth and hands-on data engineering to complex survey problems. An early penchant for interdisciplinary study (including digital and LGBTQ+ studies) hints at a thoughtful approach to inclusive measurement and analysis.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Survey Methodology/Survey and Data Science, 4.0, Master of Science - MS, Survey Methodology/Survey and Data Science, 4.0 at University of Michigan
Bachelor of Science - BS, Computer Science, Sociology in CAR program, Digital and LGBTQ+ studies, Bachelor of Science - BS, Computer Science, Sociology in CAR program, Digital and LGBTQ+ studies at 美国威斯康星大学麦迪逊分校
Chinese, Japanese, English