Soheil Ghili

Soheil Ghili is an Associate Professor of Marketing at Yale School of Management, affiliated with the Quantitative Marketing group. His research focuses on analytics, business strategy, economics, and marketing. Ghili's work integrates economic theory with experiments and econometrics to develop pricing and market design tools for companies and policy agencies. He also explores AI economic agents, which are AI models that engage in complex markets through transactions with humans or other AIs. His research has been published in top-tier journals such as Management Science, Review of Economic Studies, and Journal of Industrial Economics.

Soheil Ghili is a researcher at Yale University specializing in Industrial Organization, Quantitative Marketing, and Pricing. His work explores topics such as network formation in vertical markets, optimal health insurance contracts, and the impact of the gig economy on product quality. Ghili also investigates pricing strategies, including nonlinear pricing in business-to-business markets and second-degree price discrimination. His research integrates theoretical analysis with empirical evidence, often using experimental and data-driven approaches to understand market dynamics and consumer behavior. Ghili's contributions span areas like auction theory, bandit problems, and the economic implications of AI pricing models.