Weiguang Wang, PhD

Weiguang Wang is an assistant professor at the Johns Hopkins Carey Business School. His research focuses on the algorithmic development, business application, and engineering implementation of AI, specifically in the context of healthcare. 

Prior to joining Carey, he was an assistant professor in the Simon Business School at University of Rochester.

Education

• Ph.D. Information Systems, University of Maryland College Park MS,
• Management Science, Chinese Academy of Sciences
• BS, Management Science, University of Science and Technology of China

Research

• Weiguang Wang, Guodong (Gordon) Gao, Ritu Agarwal, 2023, “Friend or Foe? The Interaction between Human and Artificial Intelligence on Performance in Medical Chart Coding.” Management Science, forthcoming.
• Chewei Liu, Weiguang Wang, Guodong (Gordon) Gao, Ritu Agarwal, 2023, “The Virtualization of Large Social Events: Effects on Platform Users.” Management Science, forthcoming.
• Weiguang Wang, Junjie Luo, Michelle Dugas, Guodong (Gordon) Gao, Ritu Agarwal, Rachel M. Werner, 2022, “Recency of Online Physician Ratings.” JAMA Internal Medicine,182(8):881-883.

Working Papers

• “Socializing Social Bots on Social Media.”   
• “The mHealth Dilemma: Patients’ Information Environment and C-Section Overtreatment.” with Yanfang Su, Gordon Gao, and Ritu Agarwal
• “Knowledge Trap: Human Experts Distracted by Details When Teaming with AI.” with Xiaopei Liu, Xi Zhang, and Yili (Kevin) Hong