李洋现任长江商学院营销学副教授、MBA项目副院长、高层管理教育项目学术主任。他本科毕业于北京大学电子学系，之后取得哥伦比亚大学生物医学工程硕士与哥伦比亚大学商学院博士学位。李洋教授专注于企业品牌塑造和营销数据建模的研究，其成果已发表于 Management Science、Marketing Science、Journal of Marketing Research、Journal of Consumer Research 等国际顶尖学术期刊上，且是 Marketing Science 期刊的编委成员，并常受邀在北美和欧洲作营销研究报告。他创新贝叶斯非参数化模型以解决精准营销 “千人千程” 问题的研究入围了2021 年 Paul E. Green Award（营销学最高奖项之一）年度最佳论文，成为全球入围的四篇论文之一。李洋教授是贵州大数据产业联盟学术委员会委员、天猫智库荣誉学术顾问、长沙新消费研究院首批智库专家。在长江商学院，他为 EMBA、EE、DBA、MBA 等项目讲授营销课程，也曾为腾讯、天猫、恒洁卫浴、TTD 等企业提供营销研究咨询，并持有医学图像处理的美国专利。
Statistical Machine Learning, Bayesian Nonparametrics, Scalable Optimization, Choice Modeling, Text Mining, Online Personalization and Recommendation
• "Does Price Elasticity Vary with Economic Growth? A Cross-Category Analysis" with Brett Gordon and Avi Goldfarb, Journal of Marketing Research, 2013, 50(1), 4-23. (Lead Article).
(SAS and Stata codes available upon request)
• "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Consumer Choice Models" with Asim Ansari, Management Science, 2014, 60(5), 1161-1179.
(C code available upon request)
• "An Empirical Study of National vs. Local Pricing by Chain Stores under Competition" with Brett Gordon and Oded Netzer, Marketing Science, 2018, 37(5), 812-837.
(Matlab code available upon request)
• "Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach" with Asim Ansari and Jonathan Z. Zhang, Marketing Science, 2018, 37(6), 987-1008.
(Mathematica code available upon request)
• "Modeling Dynamic Heterogeneity using Gaussian Processes" with Ryan Dew and Asim Ansari, Journal of Marketing Research, 2020, 57(1), 55-77.
(Stan codes available upon request)
• "When Language Matters" with Grant Packard and Jonah Berger, Journal of Consumer Research, 2024, 51(3), 634–653.
(R codes available upon request)
• "How to Structure Customer Service Calls to Boost Satisfaction and Sales" with Grant Packard and Jonah Berger, Harvard Business Review, 2024.
• "Modeling Categorized Consumer Collections with Interlocked Hypergraph Neural Networks" with Khaled Boughanmi and Asim Ansari, Journal of Marketing Research, 2025, forthcoming.
(PyTorch codes available upon request)
• "Fair Bandits" with Bob Rombach and Gui Liberali, 2022.
• "Dynamic Triggering Effects for Online Contents: A Bayesian Nonparametric Approach" with Jinnan Huang and Jiapeng Liu, 2022.
• "Modeling Category Captain Management with Dynamics and Demand Uncertainty" with Oded Koenigsberg.
