About Me:
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Hello - my name is Lan Luo! I am a 6th year Ph.D. candidate in the Quant Marketing division at Columbia Business School. I will be joining the Yale School of Management as an Assistant Professor in Marketing in July 2026.
My research enables businesses and researchers to glean insights from unstructured data (like images and text) using causal inference. As an applied methodologist, I develop and leverage cutting-edge methods at the intersection of interpretable machine learning, applied econometrics, and probabilistic machine learning (e.g., deep generative modeling) as they become necessary to addressing marketing problems. I have worked on research in substantive areas pertaining to data-driven design, user-generated content, digital advertising, and social issues such as discrimination and financial decision-making.
I received my B.A. from Yale University, where I double majored in Economics and Statistics & Data Science.
Publications:
Discrimination Against Femininity in Headshots: A Field Experiment with AI-Enabled Controllable Stimuli Generation
Lan E. Luo and Olivier Toubia
Marketing Science, Forthcoming
[ Preprint ]
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, Forthcoming
[ Paper ] [ Preprint ] [ Code Companion ]
Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence
Anne-Marie Nussberger, Lan Luo, L. Elisa Celis, and Molly J. Crockett
Nature Communications, 2022
[ Paper ] [ Web Appendix ]
Working Papers:
How Visual Designs Drive Success: Interpretable Generative AI for Data-Driven Design
Lan E. Luo
Job Market Paper; Available upon request
Selected Research in Progress:
“*” indicates equal authorship
Semantic Query Theory: Evidence from Retirement Benefit Claiming
Daniel Russman, Lan E. Luo, Alisa Wu, and Eric J. Johnson
Sparse Autoencoders Reveal (and Generate) the Drivers of Online Sharing
Reed Orchinik*, Lan E. Luo*
How Livestreaming Chat Drives Engagement
Lan E. Luo*, Eric S. Park*
Causality in Conversations
Ryan Dew*, Yu Ding*, Lan E. Luo*
AI-Powered Conjoint Analysis
Ryan Dew, Lan E. Luo
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