Guy Aridor

Guy Aridor is an Assistant Professor of Marketing at the Kellogg School of Management, Northwestern University. He holds a PhD in Economics from Columbia University. His research focuses on consumer privacy, recommendation systems, and social media policy, with emphasis on antitrust and regulatory issues in digital markets. He previously worked as a software engineer at HubSpot, specializing in growth engineering and marketing automation.

Key research interests include privacy regulations' impact on e-commerce, competition dynamics in digital markets, and the societal implications of algorithmic systems. His work has been published in leading journals like the RAND Journal of Economics, Management Science, and Proceedings of the ACM Conference on Recommender Systems.

Recent studies examine topics such as competing bandit algorithms' market effects, substitution patterns in the attention economy, and the welfare consequences of platforms acting as both content producers and recommenders. His research frequently combines experimental methods with real-world data from platforms like MovieLens.

• Awards: Best Short Paper at ACM Conference on Recommender Systems
• Teaching: Full-Time/Evening MBA course Omnichannel Experience Strategy focuses on modern retail strategy across digital and physical channels
• Industry Experience: Software engineering background in marketing automation tools