Hello! I’m Lingwei and a graduating PhD candidate at CMU. I’m 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. Previously, 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 current 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 address fairness and racial equity challenges in practice.

My research aspires to help organizations improve algorithmic-assisted decision-making and build institutional knowledge. 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.