Assistant Professor of Quantitative Marketing 

HEC Paris


I am an Assistant Professor in the Marketing Department at HEC Paris and a Chairholder at the Hi!PARIS Center on Data Analytics and Artificial Intelligence for Science, Business and Society.  My research interests meet at the interface between empirical quantitative marketing, mangement economics, and information systems - specificially, my research concerns customer management, pricing, advertising, and privacy issues in the digital economy. Methodically,  my research is based on quantitative empirical modeling, applied econometrics, distributed statistical computing, causal machine learning, as well as large-scale field- and lab-experiments. During my Ph.D., as a post-doctoral scholar and afterward, I have been a frequent visiting scholar at the Wharton School of the University of Pennsylvania and the Graduate School of Business at Stanford University. My research is currently under review or has been published in top-tier academic journals such as the American Economic Review, the Journal of Marketing Research, Information Systems Research, and the International Journal of Research in Marketing, as well as management-oriented journals. In my research projects, I often collaborate with the industry to answer research questions at scale. In 2022, I was nominated as ISMS Early-Career Scholar. 

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