Summary
Xinyu Wei is a researcher with eight years of experience applying quantitative and mixed-methods approaches to child welfare system performance and program evaluation. At Chapin Hall she integrates administrative data, builds multilevel models and machine learning pipelines, and designs interactive dashboards that translate complex analytics into actionable insights for leaders. Her work spans prevention and foster care interventions across state and international contexts, and she has been exploring NLP and large language models to extract policy-relevant signals from unstructured text. Trained in public policy at the University of Chicago, she combines rigorous survey and policy analysis skills with practical data engineering. Before research roles she wrote and edited for regional journalism outlets, a background that sharpens her ability to communicate technical findings clearly to diverse stakeholders. Based in Waltham, MA, she brings a rare mix of statistical depth, product-oriented data visualization, and cross-sector communication.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree Communication General, Bachelor's degree Communication General at Communication University of China
Master's degree Public Policy, Master's degree Public Policy at University of Chicago
University of Missouri
Chinese, English