Remi Daviet
Associate Professor of Marketing
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Biography
Remi Daviet is an Associate Professor of Marketing at INSEAD. He completed a PhD in Economics from the University of Toronto, specializing in Bayesian econometrics and decision modelling. Prior to joining INSEAD, Remi Daviet was a faculty member at the Wisconsin School of Business and served as a Post-Doctoral Fellow at The Wharton School of the University of Pennsylvania, where he also taught MBA courses.
His research advances quantitative marketing through two distinct streams: the design of AI-driven frameworks to model human evaluation and engineer marketing solutions, and the integration of biological data to build a comprehensive understanding of consumers and predict market outcomes. In his computational work, he integrates generative AI, active learning, and optimization methods to teach algorithms how to evaluate creative assets, synthesize marketing content, and design automated decision architectures. Concurrently, his behavioral research utilizes emerging data modalities, including genomics, neuroscience, and physiological measures, to uncover the biological drivers of consumer heterogeneity, forecast consumption patterns, and improve targeting methodologies. His findings are published in premier marketing journals (Marketing Science, Journal of Marketing, Journal of Marketing Research) and leading interdisciplinary science outlets (Nature Communications, Nature Human Behaviour).
Translating these methodological advances into applied business contexts, his current AI research focuses on optimizing visual and textual environments, spanning advertising design, retail spaces, and product packaging. In the biological domain, he has pioneered the use of genetic data to explain food preferences and the application of epigenetic "biological age" as a novel variable for market segmentation. As a global citizen who has lived and worked across four continents, he brings an international perspective to this applied work. Reflecting this global reach, he maintains active research collaborations with major industry partners across Europe, North America, and Asia, including a leading automotive manufacturer, national media organizations, and global publishers.
At INSEAD, Remi Daviet developed a curriculum designed to help students leverage the power of artificial intelligence to bring marketing into a new age. His courses cover the end-to-end integration of AI in business processes, from the innovation stage and product development to the optimization and automation of advertising campaigns. He is a dedicated educator who emphasizes the development of intuition and interest in modern computational methods, ensuring future leaders can effectively bridge the gap between complex data science and strategic marketing execution.
His research advances quantitative marketing through two distinct streams: the design of AI-driven frameworks to model human evaluation and engineer marketing solutions, and the integration of biological data to build a comprehensive understanding of consumers and predict market outcomes. In his computational work, he integrates generative AI, active learning, and optimization methods to teach algorithms how to evaluate creative assets, synthesize marketing content, and design automated decision architectures. Concurrently, his behavioral research utilizes emerging data modalities, including genomics, neuroscience, and physiological measures, to uncover the biological drivers of consumer heterogeneity, forecast consumption patterns, and improve targeting methodologies. His findings are published in premier marketing journals (Marketing Science, Journal of Marketing, Journal of Marketing Research) and leading interdisciplinary science outlets (Nature Communications, Nature Human Behaviour).
Translating these methodological advances into applied business contexts, his current AI research focuses on optimizing visual and textual environments, spanning advertising design, retail spaces, and product packaging. In the biological domain, he has pioneered the use of genetic data to explain food preferences and the application of epigenetic "biological age" as a novel variable for market segmentation. As a global citizen who has lived and worked across four continents, he brings an international perspective to this applied work. Reflecting this global reach, he maintains active research collaborations with major industry partners across Europe, North America, and Asia, including a leading automotive manufacturer, national media organizations, and global publishers.
At INSEAD, Remi Daviet developed a curriculum designed to help students leverage the power of artificial intelligence to bring marketing into a new age. His courses cover the end-to-end integration of AI in business processes, from the innovation stage and product development to the optimization and automation of advertising campaigns. He is a dedicated educator who emphasizes the development of intuition and interest in modern computational methods, ensuring future leaders can effectively bridge the gap between complex data science and strategic marketing execution.
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