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Ye Liu - GT Scheller

Contact me  ✉️ 

Hello! I am Ye Liu (she/her/hers).

I am an assistant professor in the Information Technology Management group at the Scheller College of Business, Georgia Institute of Technology. I received my PhD from Michael G. Foster School of Business, University of Washington. 

I study FinTech and digital platforms, especially topics such as cryptocurrency adoption, social trading, and online networks. Using a mix of econometrics and machine learning, I analyze large-scale platform data to understand how people interact and make decisions online. I am also passionate about exploring how digital platforms can be designed to better serve underrepresented and marginalized communities, helping to create more inclusive digital spaces. More recently, I have become interested in the interactions among AI agents: how their behavior both mimics and diverges from that of humans and why.

I received my bachelor's degree in finance from Shanghai Jiao Tong University, China. Before my Ph.D., I have 3 years of consulting experience, specializing in the technology sector. 

Publications

  • Ye Liu, Mingwen Yang, Matthias Pelster, Yong Tan (2026) The Interplay of Opinions and Behavior in Social Learning: Early Cryptocurrency Adoption Dynamics. Information Systems Research. 

    • First place, Best Student Paper Award, INFORMS Social Media Analytics Section, 2024

    • CIST 2022, INFORMS 2022, POMS 2023, ICIS 2024. 

  • Amandeep Singh, Ye Liu, Hema Yoganarasimhan (2026) Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets. Marketing Science. (Github Repo)

    • CIST 2023, WDS 2023, NeurIPS Causal Representation Learning Workshop 2023

  • Zhijin Zhou, Ye Liu, Chaoliang Ma, Yong Tan (2024) Effects of Scarcity-Induced Demand on Crowdfunding Market. Production and Operations Management. 


Working Papers 

  • Ye Liu, Mingwen Yang, Yong Tan (2026) Coevolution of Trader Networks and Follower Dynamics in Social Trading (with Mingwen Yang and Yong Tan). Under Minor Revision at Production and Operations Management. 

    • CIST 2020, WITS 2021, INFORMS 2023

  • Yu Kan*, Ye Liu*, Uttara M. Ananthakrishnan, and Yong Tan (2026) One Size Fits All? Informational Accessibility and Inclusivity in Online Platforms. Under the 3rd round review at Management Science. (*equal contribution) 

    • WISE 2023, CIST 2023, HICSS 2024, ICIS 2024, Platform Strategy Research Symposium 2024                                                             


Work-in-progress (Feedback is welcome!)

  • Do LLM Agents Form Echo Chambers? A Replication of Shore et al. (2018) on an AI Social Platform. 

  • Do AI Need a Peer? Emotional Support, Critical Feedback, and Self-Evaluation in Multi-Agent Systems. 


© 2026 Ye Liu. 


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