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Zhan Pang

Lewis B. Cullman Rising Star Professor of  Management
Supply Chain & Operations Management PhD Program Coordinator
Purdue Experiential Learning Champaign
Purdue Innovation and Entrepreneurship Fellow
Purdue University | Daniels School of  Business
Tel: (765) 494-4489 | Email: zpang@purdue.edu

 

 BIOGRAPHY 

Dr. Zhan Pang is Lewis B. Cullman Rising Star Professor of Management at Daniels School of Business. He serves as the Ph.D. program coordinator for Supply Chain and Operations Management area. He is also a Purdue Innovation and Entrepreneurship Fellow to work with to connect the research enterprise with the commercialization enterprise.  

His research interests include statistical learning and decision analytics, healthcare delivery systems, supply chain finance and risk management, and pricing and revenue management. He is a senior editor for Production and Operations Management (Healthcare Operations Managment) and a founding editor of  Journal of Blockchain Research. He has rich industry experience as entrepreneur and management consultant, and is serving the board of directors for a public energy technology company. 

He teaches Operations Management, Supply Chain Management, Strategic Sourcing and Procurement, and Logistics for both undergraduate and master/MBA students. He is passionate on experiential education by engaging corporate partners and industry leaders in the classroom teaching to guide students to apply the knowledge to tackle real world challenges.  He is serving as an Experiential Education (ExEd) Champion in Purdue. 

 RESEARCH INTERESTS 

  • Statistical learning and data-driven decision making
  • Healthcare service delivery systems  
  • Supply chain and service operations management
  • Pricing analytics and revenue management

 FOR PROSPECTIVE PHD STUDENTS AND VISITOR SCHOLARS

We are looking for highly motivated and self-driven PhD students and visiting scholars with strong foundation in mathematics and statistics and strong interest in statistical machine learning and data-driven research in the domain of supply chain and operations management.