Xiaoke Zhang | PhD Student, MIS, UBC Sauder
PhD Student
Sauder School of Business
University of British Columbia
xiaoke.zhang@sauder.ubc.ca
Hello! I am Xiaoke, a PhD student in Management Information Systems at the Sauder School of Business, University of British Columbia. I am fortunate to be advised by Prof. Gene Moo Lee and Prof. Mi Zhou.
I study AI in creation through two interrelated streams: (i) understanding the incentives and consequences of generative AI adoption in creative workflows; and (ii) designing policy interventions and effective systems to govern its use in creation.
I apply mixed methods in my research, with a particular focus on multimodal data analysis, causal inference, randomized experiments, and system design.
Research Interests
Generative AI & Creation AI Governance Large Language Models Multimodal Data Analysis Causal Inference
News
| Jun 01, 2026 | 🎉 Our paper Large Language Models in the Institutional Press (with Myunghwan Lee, Mi Zhou, and Gene Moo Lee) is conditionally accepted at MIS Quarterly! |
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| Apr 01, 2026 | 🏆 Received the Paul Chwelos Memorial Graduate Scholarship for teaching at UBC Sauder. |
| Jul 01, 2025 | 🎓 Awarded UBC Affiliated Awards for 2025–2026. |
| Oct 01, 2023 | 🏅 Best Student Paper Award Finalist at CIST 2023 for our TikTok AI voice paper (with Mi Zhou and Gene Moo Lee)! |
| Jul 01, 2023 | 🥈 Best Paper Award Runner-Up at KrAIS Summer Workshop 2023 for our TikTok AI voice paper (with Mi Zhou and Gene Moo Lee)! |