Jing Dong
- DeRosa Family Associate Professor of Business
- Decision, Risk, and Operations Division
- Areas of Expertise
- Artificial Intelligence (AI), Healthcare, Operations & Supply Chain Management
- Contact
- Office: 932 Kravis
- Phone: (212) 8548103
- E-mail: jd2736@columbia.edu
- Links
- Curriculum Vitae
Jing Dong is the DeRosa Family Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. Her primary research interests are in applied probability and stochastic simulation, with an emphasis on applications in service operations management. Her current research focuses on developing data-driven stochastic modeling to improve patient flow in hospitals.
- Education
-
BS, The University of Hong Kong, 2009; PhD, Columbia University, 2014
- Joined CBS
- 2017
All Activities
Journal Article
Hu, Yue, Carri Chan, Jing Dong, Alice Kazekjian, Chayapol Ophaswongse, Gregory Sugalski, Joseph P. Underwood, and Rimma Perotte. “Implementing a prediction driven framework for emergency department nurse staffing to optimize real time decisions.”
NPJ Health Systems
vol. 2,
no.
16
(May 08, 2025).
doi:
10.1038/s44401-025-00019-2
Journal Article
Hu, Yue, Jing Dong, Ohad Perry, Rachel M. Cyrus, Stephanie Gravenor, and Michael J. Schmidt. “Use of a Novel Patient-Flow Model to Optimize Hospital Bed Capacity for Medical Patients.”
Science Direct
vol. 47,
no.
6
(February 28, 2021): 354-363.
Course
B9151: Preseminar Discussion
Course
B9150: Foundations of Operations Management
Course
B6100: Managerial Statistics
Course
B9323: (PhD) Introduction to Econometrics and Statistical Inference
In the Media
Article
Using Data-Driven Solutions to Transform Leadership & Strategy Operations
Article
Improving Hospital Operations, One Bed at a Time
Article
Columbia Bizcast: Jing Dong
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