Khaled Boughanmi

Assistant Professor, Johnson School of Management, Cornell University

My research lies at the intersection of computational consumer modeling and machine learning, with a focus on understanding how consumers evaluate and choose among complex, experience-based products. I study settings such as music, fragrances, and digital platforms, where consumer preferences are often subjective, sensory, and difficult to articulate. Methodologically, I develop quantitative models, including Bayesian nonparametric approaches and deep generative frameworks, to analyze high-dimensional data such as text, networks, and product features, with the goal of uncovering the latent structure of consumer preferences and improving data-driven decision-making. I teach MBA courses in Marketing Management and Marketing Analytics.

I studied at Louis-le-Grand (Paris, France) with a focus on mathematics and physics, and hold an engineering degree in applied mathematics, statistics, and economics from ENSAE Paris . I also received an M.Sc. and a Ph.D. from Columbia Business School .