Hello! I’m Lingwei and I’m currently a Post-doctoral researcher at Universify of Central Florida’s Center for Public and Non-profit Management. I finished my PhD in Public Policy and Management in August 2025 from Carnegie Mellon University. I was advised by Alex Chouldechova (Statistics/Public Policy) and Rayid Ghani (ML/Public Policy) and Brian Kovak (Economics).
My research interests lie at the intersection of public policy and machine learning. I have helped deploy and evaluate algorithmic tools in policy areas such as workforce development, education, and housing in real-world settings with stakeholders. My work uses econometrics and machine learning to: (1) understand human incentives and behaviors in algorithm-assisted decision-making, with a focus on questions of appropriate reliance and take-up; (2) assess the social and economic impacts of algorithms, including bias audits and AI’s added value, and (3) develop tools and ML methods to improve service delivery and address equity challenges in practice.
I’m passionate about my research and take part in civic tech because I believe researchers in public policy should actively engage policymakers and community members.
When I’m not in my office, you can find me biking and experimenting with fusion cuisine.
PhD in Public Policy and Management, 2025 (expected)
Carnegie Mellon University
MS in Computational Analysis and Public Policy
University of Chicago
BA in Political Science and International Business, Minor in Economics
Dickinson College, University of Bologna