Xiao Liu is an Associate Professor of Marketing at the NYU Stern School of Business. Professor Liu's research focuses on quantitative marketing, empirical industrial organization, causal inference, and machine learning, with a particular interest in pricing and product management in new marketing contexts, such as social media, e-commerce, voice shopping, live streaming, and influencer marketing.

Professor Liu's research was mentioned in a Financial Times article on November 8, 2024. Her study found that using advanced computer methods, such as batch deep reinforcement learning (BDRL), to set coupons for online shopping helps businesses earn more money than traditional coupon methods. This new approach allows businesses to adjust discounts based on what each shopper likes and how they have shopped before, making it much more effective.

Click the following link to read the original Financial Times article.

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