Lingwei Cheng

Lingwei Cheng is a graduate researcher at Cornell Tech.2 Previously, they were a PhD student at Carnegie Mellon University's Heinz College, where they focused on research at the intersection of public policy and machine learning.14

Research Interests

Lingwei's research interests include:

1. Examining the social and economic impact of algorithms from equity and welfare perspectives
2. Designing tools and frameworks for policymakers to assess algorithmic use, considering fairness implications and risks
3. Improving human-AI joint decision-making in the presence of strategic user behaviors1

Academic Background

• PhD Candidate: Carnegie Mellon University (prior to Cornell Tech)
• Advisor: Alex Chouldechova (Statistics/Public Policy) and Rayid Ghani (Machine Learning)4

Professional Experience

At Carnegie Mellon, Lingwei helped deploy and evaluate algorithmic tools in various policy areas, including:

• Workforce development
• Education
• Housing1

Their work involved collaborating with stakeholders in real-world settings to assess both the theoretical capacities and practical applications of these tools.

Online Presence

Lingwei Cheng maintains a professional presence on LinkedIn under the username "lingweicheng".2 They have 999 followers on the platform and are associated with both Cornell Tech and Carnegie Mellon University.

Lingwei also shares insights and engages in discussions related to their field of study. For instance, they have posted about guiding multistakeholder discussions to determine fairness goals for AI systems in public policy.3