李洋现任长江商学院营销学副教授、MBA项目负责人、EMBA项目学术主任、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,哥伦比亚大学商学院博士。李洋教授专注于企业品牌塑造和营销数据建模的研究,成果已发表在Management Science, Marketing Science, Journal of Marketing Research, Journal of Consumer Research等国际顶尖学术期刊上,并常受邀在美国和欧洲作营销研究报告。李洋教授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。李洋教授现在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。在长江商学院李洋教授为EMBA、EE、DBA、MBA等项目讲授营销课程,也曾为腾讯、百度、天猫、恒洁卫浴、海尔、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。
大数据模型、贝叶斯统计、非参数统计、机器学习
• "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(2024), Journal of Consumer Research, https://doi.org/10.1093/jcr/ucad080.
(R code available upon request)
• "How to Structure Customer Service Calls to Boost Satisfaction and Sales" with Grant Packard and Jonah Berger, Harvard Business Review, 2024.
• "Contextual Set-Based Music Recommendations using Interlocked Hypergraph Convolutional Neural Networks" with Khaled Boughanmi and Asim Ansari, 2022, under review
• "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.