Pavel Kireyev

Assistant Professor of Marketing | INSEAD

Pavel Kireyev is an Assistant Professor of Marketing at INSEAD. He conducts research with data-driven companies and studies digital markets, online platforms, and marketing technologies. Prior to joining INSEAD, he led projects on the development of machine learning algorithms at a data science startup, formed partnerships with corporate artificial intelligence labs, and worked as a data scientist with large organizations in the US and Japan.

DBA Marketing, Harvard Business School

MA Statistics, Yale University

BSc Business Mathematics and Statistics, LSE

Research

Markets for Ideas: Prize Structure, Entry Limits, and the Design of Ideation Contests, RAND Journal of Economics (Forthcoming) [web appendix]

Match Your Own Price? Self-Matching as a Retailer's Multichannel Pricing Strategy (with Vineet Kumar and Elie Ofek), Marketing Science (2017)

Do Display Ads Influence Search? Attribution and Dynamics in Online Advertising (with Koen Pauwels and Sunil Gupta), International Journal of Research in Marketing (2016)

Essays on the Design and Industrial Organization of Online Markets, Harvard Dissertation

Teaching

Artificial Intelligence Strategy (MBA 2018-)

Machine Learning, Causality, and Management (PhD 2019-)

AI Strategy for the CMO (IBM iX Executive Programs 2019)

Cases

Preferred Networks: A Deep Learning Startup Powers the Internet of Things (with Theodoros Evgeniou and Nancy Brandwein), INSEAD Case (2019)

Zalora: Data-Driven Pricing (with Sunil Gupta and Srinivas Reddy), Harvard Business School Case (2018)