PhD Candidate in Marketing · University of Maryland
Marketing Knowledge Systems & AI-Augmented Decision Making & Organizational Memory & Causal Inference & Analytical Modeling
My research investigates how firms acquire, validate, and act on market knowledge, and how AI is transforming this process. My dissertation, Leveraging Large Language Models in Marketing Analytics, examines this from two sides: how firms can embed enterprise knowledge into AI-enabled analytics to improve marketing decisions, and how LLMs can be used to measure the alignment between what firms say and what consumers say, with consequences for product sales. I also study pricing and distribution strategy, as well as online review dynamics.
Marketing Knowledge Systems
AI-Augmented Decision Making
Organizational Memory
Pricing & Distribution Strategy
Firm–Consumer Content Dynamics
GenAI-enabled Organizational Memory as a Marketing Capability
Embedding Enterprise Knowledge in LLM-Enhanced AutoML
Heterogeneous Effects of Open Access: A Freemium Strategy for Public Good
Framing the New, Finding the Faults
Too Much of a Good Thing: The Nonlinear Sales Impact of Manipulated Reviews
Pricing by Diagonal: Near-Optimal Markups at Linear Cost
Optimization and Operations Research in Mitigation of a Pandemic
Aug 2021 – Present
PhD in Marketing
Minor: Information Systems
University of Maryland, College Park
Dissertation: Leveraging Large Language Models in Marketing Analytics
Chair: P.K.Kannan
Co-Chair: Michael Trusov
Aug 2017 – Jun 2021
B.S. in Management Information Systems
Shanghai University of Finance and Economics, Shanghai, China
Jun 2019 – Aug 2019
Summer Session
Stanford University, Stanford, California
BMGT 351
Marketing Research Methods
Lecturer · Fall 2024, Spring 2026
BMGT 818Y
Management Accounting and Cyber Risk Management
PhD Seminar Invited Speaker · Fall 2025
BUMK 766
Digital Analytics
Teaching Assistant · Fall 2025
BMGT 458U
Digital Marketing Analytics
Teaching Assistant · Spring 2023, Spring 2024
Address
Robert H. Smith School of Business