YANG Fan
Ph.D., Marketing
Marketing
Ph.D., Marketing
Fan Yang is an Assistant professor of Marketing at NEOMA Business School in France. She obtained her PhD in Marketing from University of British Columbia, her MPhil in industrial engineering and logistics management from Hong Kong University of Science and Technology, and a BSc in mathematics and applied mathematics from Sun Yat-sen University. Fan’s primary research interest is causal inference, digital marketing, marketing analytics and machine learning. She is interested in both methodology development in drawing causal inference with machine learning and statistical tools, and empirical analysis in marketing-related topics such as digital marketing, big data, marketing analytics and two-sided markets. Her research has been presented at the Marketing Science Conference.
Areas of research
- Causal Inference
- Digital Marketing
- Machine Learning
- Structural Modeling
Academic conferences
- YANG, F., "Vertical Product Differentiation in Two-Sided Markets: Evidence from a Ride-hailing Platform" in UBC-UW Annual Marketing Conference, 2021, Online Zoom Conference
- YANG, F., "Vertical Product Differentiation in Two-Sided Markets: Evidence from a Ride-hailing Platform" in INFORMS Marketing Science Conference, 2020, Online Zoom Conference
- YANG, F., "Effect of Freight Subsidies on High Value and Expensive-to-ship Products" in INFORMS Marketing Science Conference, 2018, Philadelphia, United States
Participation at an academic or professional conference
- YANG, F., "Vertical Product Differentiation in Two-Sided Markets: Evidence from a Ride-hailing Platform" UBC marketing department brownbag seminar,. 2020, Online Zoom Conference, United Kingdom