Pavel Kireyev conducts research with data-driven companies and studies innovative marketing technologies, platforms, and marketplaces. He uses modern quantitative methods to uncover how organisations can effectively coordinate their pricing and advertising strategies across multiple platforms, benefit from new resources such as crowd intelligence, and manage data to improve decision-making and market design in multi-sided marketplaces. He has published research in academic journals on quantitative marketing and presented at several business schools and international conferences. He holds a Doctorate in Business Administration from the Harvard Business School, an MA in Statistics from Yale University, and a BSc in Business Mathematics and Statistics from the London School of Economics and Political Science.

Marketing Faculty Research Group