Khaled Boughanmi

Biography

Khaled Boughanmi is an assistant professor at the Samuel Curtis Johnson Graduate School of Management. His primary research interests are in the areas of data-driven decision-making, Bayesian nonparametrics, and machine learning with a focus on applications in ecommerce, personalization, online marketing, and service systems.

Boughanmi is a graduate of Louis Le Grand (France) with a major in mathematics and physics and ENSAE Paris (France) with a major in applied mathematics, statistics, and economics. He also received an MS and PhD from Columbia University.

Education

PhD Columbia University, 2020
PhM Columbia University, 2016
MS Columbia University, 2013
ISE ENSAE ParisTech, 2013

Research

• Boughanmi, Khaled; Yin, Mingzhang; Mukherjee, Anirban. "Modeling Dynamic Consumer Preferences from Few-shot Data: A Meta-Learning Approach" (in preparation).
• Boughanmi, Khaled; Ansari, Asim; Li, Yang. "Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks"Journal of Marketing Research. 62.6 (2025): 1101 - 1124
• Dew, Ryan; Padilla, Nicolas; Luo, Lan; Oblander, Shin; Ansari, Asim; et al. "Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices"International Journal of Research in Marketing. 43.2, Part B (2026): 462-484
• Boughanmi, Khaled; Ansari, Asim. "Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion"Journal of Marketing Research. 58.6 (2021): 1034-1057
• Kohli, Rajeev; Boughanmi, Khaled; Kohli, Vikram. "Randomized Algorithms for Lexicographic Inference"Operations Research. 67.2 (2019)

Awards

• Core Faculty Award for the One-Year MBA Class of 2021 (2021) Samuel Curtis Johnson Graduate School of Management
• AIM 2025 Conference Awards Finalist (2025) AIM (USC)