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. He is on the Leadership Team of the Hopkins Business of Health Initiative (HBHI) and the Executive Committee of the Johns Hopkins Institute for Data-Intensive Engineering and Science (IDIES). 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 serves as a Senior Editor for Production and Operations Management and an Associate Editor for M&SOM, Naval Research Logistics and Health Care Management Science. 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 and writings have appeared in ABC News, AP News, Baltimore Sun, Barron’s, CBC, Bloomberg, Chicago Tribune, CNBC, The Conversation, Fast Company, Fortune, Fox Business, Harvard Business Review, Les Echos, MarketWatch, MedPage Today, Modern Healthcare, Morning Consult, NBC, PBS NewsHour, Public Radio International, Quartz, S&P Global Market Intelligence, Slate, U.S. News & World Report, USA Today, Washington Post, WebMD, and WIRED, 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.