Skip to Content

zp2020i.jpg

Zhan Pang

Lewis B. Cullman Rising Star Associate Professor of Management
Supply Chain & Operations Management Area
Purdue University | Krannert School of Management
Email: zpang@purdue.edu | Tel: (765) 494-4489

 

 BIOGRAPHY 

Dr. Zhan Pang is Lewis B. Cullman Rising Star Associate Professor of Management at Krannert School of Management, faculty affiliate of  Integrative Data Science Initiative and Regenstrief Center for Healthcare Engineering (RCHE) .  Prior to  joining Purdue, he was a faculty member of City University of Hong Kong, Lancaster University and adjunct professor at Norweigian School of Economics. 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 an editor of  Journal of Blockchain Reseaerch. He has rich industry experience as entrepreneur and management consultant, and is serving the board of directors for a public energy technology company.    

 RESEARCH INTERESTS 

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

Professor Steve Liu (McGill University) and I are co-editing a special issue for  Journal of Blockchain Research under the theme "Blockchain Technologies: Theories and Applications" . Interested researchers are welcome to contribute papers to this issue via the link:  
https://www.intlpress.com/site/pub/pages/journals/items/jbr/_home/_main/index.php

 FOR PROSPECTIVE PHD STUDENTS

I am interested to recruit new PhD students. Prospective students who have strong mathematics/statistics or computing science background and who are interested in statistical learning and data-driven decision analytics are welcome to contact me. Some poential reserach topics are outlined as follows.
  • Optimal transport (OT)  theory and its applications in statistical learning and data-driven decision making 
  • Health management for elderly in social and medical care 
  • Mobility service operations and connected and autonomous vehicle (CAV)  
  • Global sourcing and supply chain risk management