Samuel Levy

Ph.D. Student, Tepper School of Business

Areas of Study

Marketing

Bio

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. 

Education

• Carnegie Mellon University - MS (Marketing) - 2020

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

Research

• 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

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