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.
Markets for Ideas: Prize Structure, Entry Limits, and the Design of Ideation Contests, RAND Journal of Economics (Forthcoming) [web appendix]
Essays on the Design and Industrial Organization of Online Markets, Harvard Dissertation
Artificial Intelligence Strategy (MBA 2018-)
Machine Learning, Causality, and Management (PhD 2019-)
AI Strategy for the CMO (IBM iX Executive Programs 2019)
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)