Wenjia Ba

Wenjia Ba is an Assistant Professor in the Marketing and Behavioural Science Division at the UBC Sauder School of Business. She holds a PhD from Stanford University and a BA from Fudan University. Her research focuses on sequential interactions using machine learning, revenue management, and probability theory, applied to online advertising, games, and virtual assistants.

Education:

• PhD, Stanford Graduate School of Business (co-advised by Haim Mendelson and Michael Harrison)
• BA in Mathematics and Applied Mathematics, Fudan University

Research Interests: Machine Learning, Personalization, Technology and Online Platforms, Consumer Modeling, Advertising. Her work combines algorithmic approaches with theoretical modeling to address challenges in digital markets and emerging technologies.

Recent Research Trends: Her articles emphasize optimization in high-dimensional settings (e.g., bandit algorithms for advertising) and strategic interactions in platforms, leveraging game theory and operations research methodologies.

Teaching: Taught courses like Market Research (BCom), and served as a teaching assistant for Optimization and Simulation Modeling, Electronic Business, and Marketing Research at Stanford.