Jiawei Zhang

Jiawei Zhang

Joined Stern 2004

Leonard N. Stern School of Business
Kaufman Management Center
44 West Fourth Street, 8-73
New York, NY 10012

E-mail jz31@stern.nyu.edu
Personal website

Biography

Jiawei Zhang is the Michael Armellino Professor in Business and Professor of Information, Operations and Management Sciences at New York University's Leonard N. Stern School of Business. He joined NYU Stern's Operations Management Group in September 2004. He serves as the academic director of the Master of Science in Data Analytics & Business Computing program.

Professor Zhang's primary research interests include business analytics and optimization, machine learning, 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 Bachelor of Science in Applied Mathematics and 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
  • Machine Learning
  • Robust Optimization
  • Health care operations
  • Supply chain optimization
  • Pricing and revenue management

Courses Taught

  • Competitive Advantage from Operations (Undergraduate)
  • Convex Optimization (PhD)
  • Decision Making under Uncertainty (Undergraduate/MBA/MSBAi)
  • Decision Models and Analytics (Undergraduate/MBA/EMBA/MSBAi)
  • Dynamic Programming (PhD)
  • Supply Chain Optimization: Submodularity and Its Applications (PhD)

Academic Background

Ph.D., Management Science & Engineering, 2004
Stanford University

M.S., Operations Research, 1999
Tsinghua University, China

B.S., Applied Mathematics, 1996
Tsinghua University, China

Areas of Expertise

Technology, Operations & Statistics

  • Stochastic Modeling
  • Supply Chain Management