Hortense Fong

Hortense Fong is an Assistant Professor in the Marketing Division at Columbia Business School, where she explores the intersection of machine learning, econometrics, and consumer behavior. Her research focuses on leveraging domain-specific knowledge to enhance ML interpretability and studying emotional drivers of consumer decisions.

She is affiliated with the Data, Media and Society and Computational Social Science centers at Columbia. Her work addresses critical societal questions in marketing fairness and AI-driven emotion analysis.

Key research trends evident in her publications include: (1) Applying deep learning to music emotion recognition, (2) Developing generative frameworks with LLMs for behavioral insights, and (3) Investigating algorithmic fairness and social media economics. Her methodological toolkit combines theoretical modeling with empirical experiments.