Zonghao Yang

My research agenda advances design science in information systems by designing and evaluating financial technologies that democratize sophisticated investing. I pursue two complementary approaches: designing platform mechanisms that lower sophistication barriers and developing AI-enabled decision support. Across both, I aim to make retail investing more accessible by shifting complexity from users to systems.

Innovation in Teaching Award, Finalist, Mid-Atlantic Association of Colleges of Business Administration (MAACBA Annual Conference). 2026.
Outstanding Academic Performance Award, City University of Hong Kong. 2023.

Peer-reviewed Journal Publication
Gopal, R. D., Qiao, X., Strub, M. S., & Yang, Z. (2025). Gaining a seat at the table: Enhancing the attractiveness of online lending for institutional investors. Information Systems Research, 36(1), 326-343.

Peer-reviewed Conference Proceedings
Pan, Qian; Cui, Zhenyu; and Yang, Zonghao, "Can Generative AI Truly Democratize Investment Analysis? An Evaluation of Gemini Deep Research" (2026). AMCIS 2026 Proceedings. 18.
Gopal, R., Qiao, X., Strub, M., & Yang, Z. (2026). Fair Pricing for All: A Generative Adversarial Pricing Framework for Risk-Commensurate Interest Rate. In Academy of Management Proceedings (Vol. 2026, No. 1, p. 12538). Valhalla, NY 10595: Academy of Management.
Yang, Zonghao; Gopal, Ram D.; Qiao, Xiao; and Strub, Moris Simon, "Leveling the Field: Equitable Interest Rates for Unsecured Personal Loans" (2024). ICIS 2024 Proceedings. 9.

FA 590 Statistical Learning in Finance
FA 690 Machine Learning in Finance