Remi Daviet joined the Wisconsin School of Business in June 2021 as an Assistant Professor in the Marketing Department.
In a first stream of research, professor Daviet works on extracting valuable insight from multiple sources of data with the help of Machine Learning and AI. This also leads to the development of methods to optimize and automate business processes. Applications are diverse, such as automating ad design, optimizing packaging and product pictures, selecting human models for ad campaigns, analysing communities of social media influencers, and improving room presentations for hotels.
In a second stream of research, he focuses on understanding and predicting consumer decisions by combining quantitative modeling with advanced statistics. His models of decision-making rely on insights from many fields: Neuroscience, Cognitive Science, Psychology, Genomics, and Economics.
Before joining the Wisconsin School of Business, Professor Daviet was a Post-Doctoral Researcher in Marketing at The Wharton School, University of Pennsylvania. He completed his PhD in Economics at the University of Toronto, specializing in Bayesian econometrics and decision modeling.
Selected Published Journal Articles
Daviet, R. & Nave, G. & Wind, Y. (2022). Genetic Data: Potential Uses and Misuses in Marketing Journal of Marketing
Aydogan, G. & Daviet, R. & Linner, R. & Hare, T. & Kable, J. & Kranzler, H. & Wetherill, R. & Ruff, C. & Koellinger, P. & Nave, G. (2021). Genetic underpinnings of risky behaviour relate to altered neuroanatomy Nature Human Behaviour