Shan Li

Shan Li is an Associate Professor at the Zicklin School of Business, Baruch College, CUNY, focusing on Data Science, Healthcare Operations, and Behavioral Operations Management. She holds a PhD in Operations Research from UC Berkeley and a BS in Computer Science from Shanghai Jiaotong University.

• Education:
  • PhD, University of California, Berkeley, Operations Research (2010)
  • MS, University of California, Berkeley, Operations Research (2006)
  • BS, Shanghai Jiaotong University, Computer Science (2004)

Her research integrates Behavioral Economics into operational decision-making, addressing challenges in Inventory Sharing, Procurement Auctions, and Healthcare Scheduling. She has pioneered studies on Loss-Averse Bidders and Cognitive Biases in Newsvendor Decisions, revealing how psychological factors impact supply chain efficiency.

Recent publications analyze Multidimensional Auction Design (2025), Time-Dependent Scheduling (2020-2020), and Behavioral Traps in Retail Inventory (2023-2018). Her work bridges Quantitative Modeling and Organizational Behavior.

• Scientific Awards:
  • CFO Pinnacle Award (2013)
  • INFORMS Doctoral Colloquium (2009)
  • Marshall-Oliver-Rosenberger Fellowship (2008)

She has secured multiple PSC-CUNY grants for projects on Behavioral Mechanisms in Procurement and Inventory Sharing. Active in academic service, she chairs sessions at INFORMS and POMS and serves on editorial boards.