• Bio


  • Research


  • Curriculum Vitae



    Khaled Boughanmi
    Assistant Professor of Marketing
    Cornell University
    Google Scholar — Linkedin

    Published & Forthcoming Journal Articles

  • Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks,
    Khaled Boughanmi, Asim Ansari, and Yang Li.
    Journal of Marketing Research, forthcoming.

  • Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices,
    Ryan Dew, Nicolas Padilla, Lan E. Luo, Shin Oblander, Asim Ansari, Khaled Boughanmi,
    Michael Braun, Fred Feinberg, Jia Liu, Thomas Otter, Longxiu Tian, Yixin Wang, and Mingzhang Yin.
    International Journal of Research in Marketing, 2024.

  • Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion,
    Khaled Boughanmi and Asim Ansari.
    Journal of Marketing Research, 2021.
    - Lead article.

  • Randomized Algorithms for Lexicographic Inference,
    Rajeev Kohli, Khaled Boughanmi, and Vikram Kohli.
    Operations Research, 2019.

    Working Papers

  • Decomposing Treatment Effects Using a Latent Themes Approach,
    Khaled Boughanmi, Raghuram Iyengar, and Young-Hoon Park.

  • Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach,
    Mingzhang Yin, Khaled Boughanmi, and Anirban Mukherjee.

  • From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction,
    Khaled Boughanmi, Kamel Jedidi, and Nour Jedidi.
    - This research was supported by a Cornell Center for Social Science grant.

  • Weighting Graphs for Causal Inference,
    Khaled Boughanmi, Mingzhang Yin, and Sachin Gupta.
    - AIM 2025 Conference Awards, Finalist.

  • Optimal Differentiation in the Fragrance Landscape: Evidence from Consumer Ratings and Scent Profiles,
    Khaled Boughanmi and Kamel Jedidi.

    Research In Progress

  • Music Streaming Payment Systems,
    Skander Esseghaier and Khaled Boughanmi.