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Ruohan Zhan is an assistant professor specializing in Marketing and Analytics at UCL School of Management. His research focuses on understanding and improving online marketplaces, analyzing the dynamics of interactions among stakeholders, and optimizing platform operations and recommendation systems through digital experiments. Methodologically, he is interested in causal inference, econometrics, statistical learning, and machine learning. Ruohan's work aims to evaluate marketplace interventions causally and enhance operational efficiencies through data-driven methodologies. He leverages advanced statistical techniques to draw insights from complex data, ultimately contributing to enhanced marketplace performance and user experience.