معرفی
Qiaochu Wang is an Assistant Professor of Marketing at the Leonard N. Stern School of Business, New York University, joining in July 2024. He is based at the Kaufman Management Center in New York, NY.
Education:
- PhD in Business Technologies, Tepper School of Business, Carnegie Mellon University
- MS in Civil and Environmental Engineering, Carnegie Mellon University
- BS in Acoustics, School of Physics, Nanjing University
Wang's research focuses on the economic and societal implications of AI algorithms in marketing. His work spans algorithmic pricing, AI fairness and transparency, structural modeling, and game-theoretic approaches to digital markets. He integrates methods from economics, data science, and machine learning to analyze how algorithmic systems shape market dynamics and consumer outcomes.
His recent publications and revisions appear in top-tier journals such as Management Science and Marketing Science, reflecting a strong trend in applying rigorous quantitative models to understand AI-driven marketing systems and their broader social consequences.
Scientific Awards:
- The William W. Cooper Doctoral Dissertation Award
- Paul and James W. Wang - Sercomm Presidential Fellowship
- PNC Presidential Fellowship
Wang advises on topics related to AI in marketing and has been supported by prestigious fellowships during his doctoral studies. There is no public information yet about externally funded grants or doctoral students he may be advising. He teaches courses in Data Exploration and Visualization, Data Mining, and Digital Marketing and Social Media Strategy.
While no lab or research team is explicitly mentioned, his interdisciplinary work suggests collaboration across business, computer science, and public policy domains.
