Carnegie Mellon University

Samuel Levy

Samuel Levy

Ph.D. Student, Tepper School of Business

5000 Forbes Avenue
Pittsburgh, PA 15213

Areas of Study



I am a Marketing Ph.D. candidate in the Tepper School of Business, CMU. I use and combine Bayesian {statistics, machine learning and econometrics} to (1) build predictive models of browsing and buying behavior using unstructured data (2) flexibly model consumer behavior and make policy recommendations for pricing and promotional strategies. 


  • Carnegie Mellon University - MS (Marketing) - 2020

  • Tilburg University - MS (Marketing) - 2018
  • Ecole Normale Superieure Paris-Saclay, Universite de Paris 1 - BS (Economics) - 2014


  • Using Bayesian Topic Modeling to Enhance Customer Purchase Prediction (authors: Samuel Levy, Dokyun Lee, Daniel McCarthy, Alan Montgomery) 
  • Gaussian Process Utility Model (authors: Samuel Levy, Alan Montgomery)


Teaching Assistant 

  • 70381 Marketing I (Prof. Hui Li)
  • 70467 Machine Learning for Business Analytics (Prof. Benjamin Moseley and Andrew Li)
  • 47747 Bayesian Statistics (PhD, Prof. Alan Montgomery)
  • MBA Math Skills Workshop