Renyu (Philip) Zhang

Renyu (Philip) Zhang

Renyu (Philip) Zhang is an Assistant Professor of Operations Management, NYU Shanghai; Global Network Assistant Professor, NYU. Prior to joining NYU Shanghai, he was a PhD candidate at Olin Business School, Washington University in St. Louis, where he holds a PhD in Business Administration (Operations Management). Prof. Zhang also holds a Bachelor’s degree in Mathematics from Peking University. Prof. Zhang’s personal website can be found here, and his CV can be viewed here

Prof. Zhang’s research interests are developing data-driven optimization and randomized experiment (a.k.a. A/B testing) methodologies to evaluate and optimize the operations strategies in the contexts of online platforms and marketplaces, sharing economy, and social networks, especially their recommendation, advertising, and pricing policies. His research works have appeared in Operations Research and Manufacturing & Service Operations Management, and have been recognized by various research awards of the INFORMS and POMS research communities. Prof. Zhang is also a faculty member at the Center for Business Education and Research (https://research.shanghai.nyu.edu/cber) and the Center for Data Science and Artificial Intelligence (https://research.shanghai.nyu.edu/datascience). 

Select Publications  

  • Yang, Nan and Zhang, Renyu, Dynamic Pricing and Inventory Management under Inventory-Dependent Demand. Operations Research, 62(5), 2014, 1077-1094

  • Xiao, Guang and Yang, Nan and Zhang, Renyu, Dynamic Pricing and Inventory Management under Fluctuating Procurement Costs. Manufacturing & Service Operations Management, 17(3), 2015, 321-334

  • Zhang, Fuqiang and Zhang, Renyu. 2018. Trade-in Remanufacturing, Customer Purchasing Behavior. Manufacturing & Service Operations Management, 20(4), 2018, 601-616

Education

  • PhD, Business Administration (Operations Management)
    Washington University in St. Louis
  • BS, Mathematics
    Peking University

Courses Taught

  • Machine Learning for Business
  • Business Analytics
  • Competitive Advantage from Operations
  • Operations Management