Associate Professor of Operations Management & Business Analytics, Johns Hopkins University

Tinglong Dai is an Associate Professor of Operations Management and Business Analytics at the Johns Hopkins Carey Business School, with joint faculty appointments at the Johns Hopkins School of Nursing and Institute for Data-Intensive Engineering and Science. He is on the leadership team of the Hopkins Business of Health Initiative. His research focuses on healthcare analytics, marketing-operations interfaces, and human-AI interaction. Most recently, his work explores the impact of COVID-19 on global supply chains and healthcare delivery.

Professor Dai has been recognized by the Johns Hopkins Discovery Award, Wickham Skinner Early Career Award (runner up), INFORMS Public Sector Operations Research Best Paper Award, and POMS Best Healthcare Paper Award. His research has been published in leading academic journals, including Management Science, M&SOM, Marketing Science, and Operations Research. He is a Senior Editor of Production and Operations Management and an Associate Editor of Naval Research Logistics. He co-chairs the Johns Hopkins Symposium on Healthcare Operations and co-edits the Handbook of Healthcare Analytics, published by John Wiley & Sons in 2018.

His quotes or writings have appeared in Baltimore Sun, Barron’s, Chicago Tribune, The Conversation, Fortune, Fast Company, MarketWatch, Morning Consult, NBC, S&P Global Market Intelligence, Slate, U.S. News & World Report, USA Today, Washington Post, WebMD, and Yahoo! News, among other media outlets.

Professor Dai received his PhD (2013) and MS (2009) in Operations Management/Robotics from Tepper School of Business, Carnegie Mellon University, in addition to an MPhil (2006) in Industrial Engineering from the Hong Kong University of Science and Technology.


  • 2018–present
    Associate Professor of Operations Management & Business Analytics, Johns Hopkins University Carey Business School
  • 2013–2018
    Assistant Professor of Operations Management & Business Analytics, Johns Hopkins University Carey Business School


  • 2013 
    Carnegie Mellon University, PhD in Operations Management/Robotics


  • 2020
    Jumping the Line, Charitably: Analysis and Remedy of Donor-Priority Rule, Management Science
  • 2020
    Healthcare Operations Management: A Snapshot of Emerging Research, Manufacturing & Service Operations Management
  • 2020
    Colorectal cancer services during the COVID-19 pandemic, British Journal of Surgery
  • 2020
    PPE Supply Chain Needs Data Transparency and Stress Testing, Journal of General Internal Medicine
  • 2020
    Conspicuous by Its Absence: Diagnostic Expert Testing Under Uncertainty, Marketing Science
  • 2020
    Health Organizational Design: Information Exchange and Accountability, Wiley StatsRef: Statistics Reference Online
  • 2020
    Incentive Design for Operations-Marketing Multitasking, Management Science
  • 2019
    Heart analytics: Analytical modeling of cardiovascular care, Naval Research Logistics
  • 2019
    Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts, Marketing Science
  • 2018
    Handbook of Healthcare Analytics, John Wiley & Sons
  • 2017
    Imaging room and beyond: The underlying economics behind physicians' test-ordering behavior in outpatient services, Manufacturing and Service Operations Management
  • 2016
    Contracting for on-time delivery in the U.S. Influenza vaccine supply Chain, Manufacturing and Service Operations Management
  • 2016
    Automated multilateral negotiation on multiple issues with private information, INFORMS Journal on Computing
  • 2013
    Salesforce compensation with inventory considerations, Management Science

Professional Memberships

  • Institute for Operations Research and the Management Sciences (INFORMS)