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.


Artificial Intelligence Strategy (MBA 2018-)

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

Machine Learning in Marketing Science (MiM 2020)

Demystifying AI in the Food Industry (ExecEd 2020)

AI Strategy for the CMO (ExecEd 2019)


ObEN PAI: Building a World of Personal AI Avatars  (with Peter Zemsky and Lisa Duke), INSEAD Case (2020)

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)