ResearchMy research focuses on generative and agentic AI, digital collectives, and AI governance, with applications in healthcare analytics and operations and supply chain analytics.Working PapersA Causal Discovery Framework for Data-Driven Hypothesis GenerationIn collaboration with A. Baird, M. Lajnef, A. Rai, and Y. Xia.Invited for revision, ACM Transactions on Management Information Systems.Governing AI Subscription Access: Refinement, Information, and Capacity CommitmentsWorking paper.Adaptive Engagement in Online Knowledge Communities Amid a Technology Shock: Evidence from Stack OverflowIn collaboration with A. Rai, Y. Xia, and X. Fu.Targeting submission October 2026.Pipeline-Induced Choice Distortion in Agentic E-CommerceIn collaboration with X. Fu, A. Rai, and Y. Xia.Working paper.When All-or-Nothing Fails: Endogenous Customer Service Times in Guaranteed-Service ModelsIn collaboration with G. Li, Z. Liu, and Y. Xia.Revising for submission to Operations Research.Statistical Analysis of Home-Sharing EffectIn collaboration with L. Peng and V. Yao.SSRN Working Paper, No. 4034848 (2022). Read on SSRNRefereed Journal ArticlesWang, G., Wei, X., Yu, B., & Xu, L. (2020). An Efficient Proximal Block Coordinate Homotopy Method for Large-Scale Sparse Least Squares Problems. SIAM Journal on Scientific Computing, 42(1), A395–A423.Wei, X., Gotoh, J. Y., & Uryasev, S. (2018). Peer-to-Peer Lending: Classification in the Loan Application Process. Risks, 6(4), 129. Code and data