About
Samuel Levy is an Assistant Professor of Business Administration in the Marketing Area at the University of Virginia Darden School of Business. He teaches the marketing core course for the full-time MBA program and holds a B.S. in Economics from École Normale Supérieure Paris-Saclay, an M.S. in Marketing from Tilburg University, and a Ph.D. in Marketing from Carnegie Mellon University.
His research focuses on customer analytics, data fusion, and privacy-preserving methodologies in marketing. He employs Bayesian econometrics, probabilistic machine learning, and deep generative models to address challenges in brand affinity, CRM optimization, and decision-making complexity. His work includes innovations like digital marketing twins for counterfactual analysis and privacy-preserving data fusion techniques for telecom industries.
While no scientific awards or student advisement details are explicitly mentioned, his methodological contributions in Gaussian processes and Bayesian nonparametrics advance choice modeling and charitable giving research. He actively collaborates with scholars like Longxiu Tian and Alan Montgomery on high-impact projects.
