معرفی
Xiao Liu is an Associate Professor of Marketing at the Leonard N. Stern School of Business, New York University, where she has been a faculty member since 2015. Her research bridges quantitative marketing, empirical industrial organization, and machine learning, with a focus on pricing and product management in emerging digital environments such as social media, e-commerce, voice shopping, and influencer marketing.
Her academic background includes a Ph.D. in Marketing from Carnegie Mellon University's Tepper School of Business and a B.S. in Finance from Tsinghua University.
Professor Liu’s research explores how advanced computational methods, particularly machine learning and causal inference, can optimize marketing strategies in dynamic digital contexts. Her work has significant implications for personalized pricing, consumer engagement, and platform design in livestream and social commerce.
The trends in her research, particularly evident in her 2023 Marketing Science paper on dynamic coupon targeting using deep reinforcement learning, reflect a strong emphasis on integrating AI techniques into marketing decision-making, with demonstrated impact in industry applications such as Instacart’s patented systems.
Her scientific recognition includes:
- Don Lehman Award (2023)
- Paul Green Award (2023)
- Stern Distinguished Teaching Award (2023)
- MSI Young Scholars Award (2021)
- INFORMS ISMS Competition Award (2014)
- Multiple finalist recognitions in top marketing awards
She has been actively involved in applied research through collaborations with industry leaders including Alibaba, BazaarVoice, PNC Bank, Principal Financial Group, TVision, and XMode. These partnerships have led to impactful insights with real-world implementation, such as her work being cited in patents filed by Instacart. While specific grant details are not listed, her research funding is implied through these extensive industry engagements and high-impact publications.
Professor Liu contributes to the academic and business communities through her research, teaching excellence, and industry outreach, positioning her at the forefront of innovation in digital marketing science.
