Faculty Area
Interdisciplinary Theme
Faculty Expertise
- Marketing
- Machine Learning
- Quantitative Modeling
Contact
Samuel Curtis Johnson Graduate School of Management
607.255.2662
Website
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.
Selected Publications
- Kohli, Rajeev; Boughanmi, Khaled; Kohli, Vikram. "Randomized Algorithms for Lexicographic Inference"Operations Research. 67.2 (2019)
Recent Courses
- NBAE 5850 - Customer Preference, Demand and Pricing Analytics
- NBAE 5980 - Global Business Study
- NCCT 5030 - Marketing Management
Academic Degrees
- PhD Columbia University, 2020
- PhM Columbia University, 2016
- MS Columbia University, 2013
- ISE ENSAE ParisTech, 2013