About Me:

Sam Levy is a Marketing Ph.D. candidate in the Tepper School of Business at Carnegie Mellon University. He uses and combines 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.

Interested in my research or in collaborating? Feel free to email me at silevy@andrew.cmu.edu. You can also find me on LinkedIn.

For more about my background, check out my CV.

Research Overview:


Working Papers:
  • Bayesian Topic Model
    Sam Levy, Dokyun Lee, Daniel McCarthy, Alan Montgomery

Research in Progress: