I am Amber Xiaoyan Liu. I am an Assistant Professor in Information Systems & Analytics department at the Leavey School of Business, Santa Clara University.
My research focuses on developing and applying data-driven approaches to solve practical problems that arise in today’s business world, as well as providing insights to relevant stakeholders. I am interested in a wide range of topics including design and operations of online marketplaces, revenue management of innovative business models, and operations-finance interface. In my recent research, I primarily use machine learning and causal inference to facilitate informed decision making, predict agent behavior, and understand the societal impact of policy making.
Link to CV: [CV]
Operational Distortion: Compound Effects of Short-termism and Competition, with W. Schmidt. Management Science 68(8):5907-5923.
- Under Review
- Finalist of INFORMS 2021 Innovative Applications in Analytics Award
The Impact of the Opportunity Zone Program on Residential Real Estate, with R. Bekkerman, M. Cohen, J. Maiden, and D. Mitrofanov.
- Under Review
- In Preparation
My teaching strives to bring hands-on experiences in predictive modeling, and foster a deep understanding of operations and supply chain management. I am teaching the following courses at Santa Clara University.
- OMIS 108 Operations Management
- OMIS 115 Predictive Analytics
Amber Xiaoyan Liu
Lucas Hall 321 W
500 EI Camino Real
Santa Clara, CA 95053