Verina F. Que

I am a sixth-year doctoral candidate in Quantitative Marketing at Rotman School of Management, University of Toronto. I will be joining Nanyang Business School at Nanyang Technological University (NTU) in Singapore as a tenure-track Assistant Professor in Fall 2025.

I am interested in the economics of digital privacy. My core focus is understanding consumer privacy decisions, which I believe is first-order important in the era where firm decisions and strategies rely heavily on AI and data-driven decision-making. Firms trade off the competing goals of data access and privacy protection. In my dissertation chapters, my coauthor and I develop an economic framework to help understand the benefit-cost tradeoffs of dataflows and explore future directions for digital privacy. I highlight different forms of externalities related to dataflows and consumer privacy choices in both the survey paper and my job market paper. I apply tools such as causal inference, field experiments, structural modeling, and LLMs.

In addition to my main focus, my research agenda broadly covers how information imperfections, such as information overload and biases (eg. gender homophily, distorted data from AI, and etc.), affect consumer decision-making and market outcomes.

Besides my research routine, I have been dancing ballet since I was 4. I go snowboarding in winters and hiking in summers.