Hello! I’m Lingwei and currently a fifth-year PhD candidate at CMU. I’m advised by Heinz faculties Alex Chouldechova (Statistics/Public Policy) and Rayid Ghani (ML/Public Policy) and Lowell Tyalor (Labor 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 includes 1) use causal inference methods to examine the social and economic impacts of algorithms from equity and efficiency perspectives. This includes conducting bias audits and understanding the value-added of AI over existing practices; 2) improving human-AI joint decision-making in presence of strategic behaviors from users; and 3) designing useful tools and frameworks for policymakers to govern and assess the use of algorithms, with a focus on risk, fairness, transparency, accountability, and community engagement.

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.