• Jiawei Zhang
  • Professor at Stern School of Business, New York
    University
    Robert Stansky Research Faculty Fellow, New York
    University
    Visiting Research Fellow, NSCIIC
  • Phone:
  • Email:jzhang@stern.nyu.edu
  • WEBSITE

Biography

Jiawei Zhang is a Professor of Information, Operations and Management Sciences and Robert Stansky Research Faculty Fellow at New York University's Leonard N. Stern School of Business. Professor Zhang's primary research interests include business analytics and optimization, supply chain and inventory management, pricing and revenue management, and health care operations.    

   Professor Zhang's primary research interests include business analytics and optimization, supply chain and inventory management, pricing and revenue management, and health care operations. His publications have appeared in Management Science, Mathematics of Operations Research, Mathematical Programming, Manufacturing and Service Operations, Operations Research, SIAM Journal on Computing, etc.    

   Professor Zhang received his Master of Science degree in Operations Research from Tsinghua University, China, and his PhD in Management Science and Engineering from Stanford University.

 

Research Interests

business analytics and optimization, health care operations, supply chain optimization, inventory management, pricing and revenue management, mathematical programming (deterministic and stochastic).

 

Teaching Interests

Advanced Decision Models, Competitive Advantage from Operations, Convex Optimization, Decision Models, Supply Chain Optimization.

 

Selected Publications

Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders (with Xi Chen and Yuan Zhou), Operations Research, accepted for publication, 2015.
Process Flexibility: A Distribution-Free Bound on the Performance of K-Chain (with Xuan Wang), Operations Research, 63(3), pp 555-571, 2015
Optimizing Product Launches in the Presence of Strategic Consumers (with Ilan Lobel, Jigar Patel, Gustavo Vulcano), Management Science, accepted for publication, 2014.