Zhidi Luo is an Associate Researcher at Chapin Hall. He analyzes administrative data and develops evaluation methods and designs for multiple program evaluation projects for the Illinois Department of Children and Family Services. Through the Casey Family Program project, he also provides analytic support on machine learning implementation in New York City Administration for Children’s Services.
Prior to joining Chapin Hall, Luo was a quantitative trader in Chicago. He provided data-informed financial research using multilevel statistical modeling and machine learning. He also developed a robust risk management tool for those investing in index options, a type of financial derivatives. Luo’s prior work experience allowed him to transfer his skills in data analysis and statistical modeling from the financial industry to the child welfare system.
Luo holds a master’s degree in Financial Mathematics from the University of Chicago and a bachelor’s degree in Mathematics and Applied Mathematics from Sun Yat-Sen University.
Master of Science in Financial Mathematics, University of Chicago
Bachelor of Science in Mathematics and Applied Mathematics, Sun Yat-Sen University