Ruohan Zhan
Assistant Professor of Marketing
BSc (Peking) PhD MSc (Stanford)
Dr Ruohan Zhan's research examines digital platforms, customer analytics, and the application of machine learning and artificial intelligence to marketing challenges. Her work employs causal inference, econometrics, machine learning, and statistical methods to investigate how data-driven approaches can enhance marketing effectiveness and customer understanding. Through rigorous empirical analysis, she contributes to understanding the intersection of technology, data science, and marketing strategy.
Zhan joins London Business School as an Assistant Professor of Marketing from University College London. Previously, she wasat the University of Hong Kong University of Science and Technology. Her multidisciplinary background in applied and computational mathematics provides a strong foundation for her quantitative approach to marketing research.
Zhan is actively engaged with the academic community through peer review and conference participation. She serves as a reviewer for leading marketing and operations journals, including Marketing Science, Management Science, Journal of Marketing Research, Operations Research, and Manufacturing & Service Operations Management, as well as for top-tier machine learning conferences and statistics journals. She has served as a session chair at major conferences, including the ISMS Marketing Science Conference and INFORMS Annual Meeting.
Academic and professional experience
University College London, Assistant Professor
The Hong Kong University of Science and Technology, Assistant Professor
Stanford University, Postdoctoral fellow at Golub Capital Social Impact Lab
Stanford University, Doctoral studies in Applied and Computational Mathematics
Journal Reviewer, Marketing Science; Management Science; Journal of Marketing Research, Operations Research, Manufacturing & Service Operations Management; Annals of Statistics; JASA; Biometrika; Production and Operations Management
Conference Reviewer, Neural Information Processing Systems (NeurIPS) (2023)
Conference Reviewer, SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2021–2022)
Conference Reviewer, International Conference on Learning Representations (ICLR) (2021)
Conference Reviewer, International Conference on Machine Learning (ICML) (2020–2021)
Conference Reviewer, IEEE Intelligent Transportation Systems Conference (ITSC) (2020)
Session Chair, ISMS Marketing Science Conference (2026)
Session Chair, INFORMS Annual Meeting (2023–2025)
Session Chair, Production and Operations Management Society-Hong Kong (POMS-HK) (2024–2025)
Awards and honours
ISMS Early Career Scholars Camp Fellow, Columbia University 2025