Shen Han is a Project Associate at Chapin Hall at the University of Chicago. His research interests include data analysis, machine learning, and databases. Han has substantial experience in the application of computational analysis to social sciences and is well-versed in a range of programming languages and data science tools. His work focuses on developing quantitative analyses and visualizations on large administrative datasets and automating data processing workflows. Han works on the Family Self-Sufficiency Data Center project, using data from the Temporary Assistance for Needy Families program and the Child Care Assistance Program. Han has also modeled community-level variables and their relationship to allegations of child abuse and neglect.
Prior to joining Chapin Hall, Han was a Research Assistant at the Center for Human Potential and Public Policy at the University of Chicago Harris School of Public Policy and an intern at the National Supercomputing Center in Tianjin, China.
Han holds a Master of Public Policy degree with a Certificate in Research Methods from the University of Chicago and a Bachelor of Laws and Economics from Nankai University in Tianjin, China.
Master of Public Policy with a Certificate in Research Methods, University of Chicago
Bachelor of Laws and Economics, Nankai University