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Zikun Ye
Assistant Professor of Marketing

Education

  • PhD University of Illinois at Urbana-Champaign (2023)
  • BS Shanghai Jiao Tong University (2018)

Expertise

advertising, casual machine learning, large language models, online platform

Positions Held

Assistant Professor, Michael G. Foster School of Business, University of Washington, since 2023

Selected Publications

LOLA: LLM-assisted online learning algorithm for content experiments
Ye, Z., Yoganarasimhan, H. and Zheng, Y., (2025). Marketing Science, 44(5):995-1016.

Deep-learning-based causal inference for large-scale combinatorial experiments: Theory and empirical evidence
Ye, Z., Zhang, Z., Zhang, D., Zhang, H. and Zhang, R.P., (2025).  Forthcoming in Management Science.

Efficient algorithms for a class of stochastic hidden convex optimization and its applications in network revenue management
Chen, X., He, N., Hu, Y. and Ye, Z., (2025). Operations Research, 73(2), pp.704-719.

Cold start to improve market thickness on online advertising platforms: Data-driven algorithms and field experiments
Ye, Z., Zhang, D.J., Zhang, H., Zhang, R., and Chen, X., (2023). Management Science, 69(7), pp.3838-3860.

Zikun Ye

Academic Department

Marketing & International Business

Current Research

Large Language Models, Digital Marketing, Data Driven Decision Making