Zoey Jiang

Zoey Jiang is an Assistant Professor of Business Technologies at the Tepper School of Business, Carnegie Mellon University since 2020. She holds a PhD from the University of Michigan–Ann Arbor (2020) and dual bachelor’s degrees in BA/BS from Peking University (2014). Her research bridges data science and operations management through innovative applications in AI collaboration, pricing optimization, and healthcare analytics.

• Education: PhD (University of Michigan–Ann Arbor, 2020), BA/BS (Peking University, 2014)

Research Interests focus on:

• Human-AI collaboration frameworks
• High-dimensional choice modeling for retail analytics
• Competitive pricing mechanisms
• Crowdsourcing contest optimization
• Healthcare operations through behavioral data

Key Publications demonstrate expertise in:

• Machine learning for substitution patterns in online retail
• Real-time AI assistance in healthcare
• Dynamic feedback policies in crowdsourcing
• Competitive pricing at scale

Scientific Recognition:

• Recipient of Ross T&O Research Productivity Award (2019)

Professional Contributions include:

• INFORMS TIMES Vice President (2025)
• Editorial reviewing for Management Science, Information Systems Research, and Manufacturing & Service Operations Management

Teaching covers data science applications in business through courses like:

• Data Exploration and Visualization
• Data Mining & Business Analytics
• Seminar in Business Tech: Human-AI Interactions