Description: Description: Macintosh HD:Users:jingdong:Desktop:Jing_Dong_web_files:index_files:image001.jpgJing Dong

Regina Pitaro Associate Professor of Business

Decision, Risk, and Operations Division

Graduate School of Business

Columbia University



Address: 413 Uris Hall, 3022 Broadway, New York, NY 10027










About me:

I am the Regina Pitaro Associate Professor of Business in the Decision, Risk, and Operations Division at Columbia Business School. My primary research interests are at the interface of applied probability and service operations management. My current research focuses on developing data-driven stochastic modeling to improve patient flow in healthcare delivery systems. I also develop efficient simulation algorithms to facilitate better decision-making in complex stochastic systems.


I did my undergraduate in Actuarial Science at Hong Kong University and received my Ph.D. in Operations Research from Columbia University. Before joining Columbia Business School, I was an Assistant Professor at Northwestern University.




-   Working Papers:

1.        Chen Y. and Dong J., Scheduling with Service-Time Information: the Power of Two Priority Classes [pdf]

-           Honorable Mention, 2020 INFORMS JFIG Paper Competition

2.        Chen J. and Dong, J., Managing Flexibility: Optimal Sizing and Scheduling of Flexible Servers [pdf]

3.        Chen Y., Dong, J., and Wang Z., A Primal-Dual Algorithm to Constraint Markov Decision Processes [pdf]

4.        Dong J. and Tong, T. X., Spectral Gap of Replica Exchange Langevin Diffusion on Mixture Distributions [pdf] [presentation]

5.        Dong J. and Tong, T. X., Replica Exchange for Non-Convex Optimization [pdf] [presentation]

6.        Hu Y., Dong J., and Perry O., Asymptotic Optimality of Binomial-Exhaustive Policy for Polling Systems with Large Switchover Times [pdf]

-           Hu Y., 2020 INFORMS APS Student Best Paper Award

7.        Hu Y., Dong J., and Perry O., Existence and Approximations of Moments for Polling Systems under the Binomial-Exhaustive Policy [pdf]

8.        Dong J., Shi P., Zheng F., and Jin X., Structural Estimation of Load Balancing Behavior in Inpatient Ward Network [pdf]

9.        Blanchet J., Chen L., and Dong J., Exact Sampling for the Maximum of Infinite Memory Gaussian Processes [pdf]

10.    Zhu Y., Dong J., and Lam H., Efficient Uncertainty Quantification and Exploration for Reinforcement Learning [pdf]

11.     Zhu Y. and Dong J., On Constructing Confidence Region for Model Parameters in Stochastic Gradient Descent via Batch Means [pdf]

12.    Zychlinski N., Chan C., and Dong J., Managing Queues with Different Resource Requirements [pdf]

13.    Dong J., Shi P., Zheng F., and Jin X., Off-Service Placement in Inpatient Ward Network: Resource Pooling versus Service Slowdown [pdf]

-           Second Place, 2020 POMS College of Healthcare Operations Management Best Paper Award

14.    Dong J. and Glynn P.W., A New Approach to Sequential Stopping for Stochastic Simulation [pdf]


-   Publications (including refereed conference proceedings):

Stochastic Modeling:

1.         Dong J. and Ibrahim, R. (2021), On the SRPT Scheduling Discipline in Many-Server Queues with Inpatient Customers, forthcoming in Management Science [pdf]

2.        Hu Y., Dong J., Perry O., Cyrus R.M., Gravenor S., Schmidt M.J. (2021), Use of a Novel Patient-Flow Model to Optimize Hospital Bed Capacity for Medical Patients, forthcoming in The Joint Commission Journal on Quality and Patient Safety

3.        Gershengorn H.B., Hu Y., Chen J.-T., Hsieh S.J., Dong J., Gong M.N., Chan C.W.  (2020), The Impact of High-Flow Nasal Cannula Use on Patient Mortality and the Availability of Mechanical Ventilators in COVID-19, forthcoming in Annals of the American Thoracic Society.

4.        Hu Y., Chan C. and Dong J. (2020), Optimal Scheduling of Proactive Service with Customer Deterioration and Improvement, forthcoming in Management Science [pdf]

-           Hu Y., Finalist, 2019 IBM Best Student Paper Competition

5.        Chen J., Dong J. and Shi P (2020). A Survey on Skill-Based Routing with Applications to Service Operations Management, Queueing Systems 96, pp 53-82 [pdf]

6.        Dong J. and Ibrahim R. (2020), Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees or Both, Operations Research 68(4), pp 1238-1264 [pdf]

7.        Dong J. and Perry O. (2020), Queueing Models for Patient-Flow Dynamics in Inpatient Wards, Operations Research 68(2), pp 250-275 [pdf]

8.        Dong J., Yom-Tov E. and Yom-Tov G. (2019), The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times, Management Science 65(5), pp 1969-1994  [pdf]

9.        Chan C., Dong J. and Green L. (2017) Queues with Time-Varying Arrivals and Inspections with Applications to Hospital Discharge Policies, Operations Research 65(2), pp 469-495 [pdf]

10.    Dong J., Feldman P. and Yom-Tov G. (2015) Service Systems with Slowdowns: Potential Failures and Proposed Solutions, Operations Research 63(2), pp 305- 324 [pdf]


Stochastic Simulation:

11.     Chen Y., Dong J. and Ni H. (2020), epsilon-Strong Simulation of Fractional Brownian Motion and Related Stochastic Differential Equations, forthcoming in Mathematics of Operations Research [pdf]

12.    Blanchet J., Dong J. and Liu Z. (2019), Exact Sampling of the Infinite Horizon Maximum of a Random Walk over a Non-linear Boundary, Journal of Applied Probability 56(1), pp 116-138  [pdf]

13.    Blanchet J., Dong J. and Pei Y. (2018), Perfect Sampling of GI/GI/c Queues, Queueing Systems 90 (1-2) 1-33  [pdf]

14.    Blanchet J., Chen X. and Dong J. (2017) epsilon-Strong Simulation for Multidimensional Stochastic Differential Equations via Rough Path Analysis, Annals of Applied Probability 27(1) 275-336 [pdf]

15.     Blanchet J. and Dong J. (2015) Perfect Sampling for Infinite Server and Loss Systems, Advances in Applied Probability 47(3), pp 761-786 [pdf]

16.    Zychlinski N., Chan C., and Dong J. (2020) Scheduling Queues with Simultaneous and Heterogeneous Requirements from Multiple Types of Servers, Proceedings of the 2020 Winter Simulation Conference [pdf]

17.    Chen Y., Chen J., Dong J., Peng J. and Wang Z. (2019) Accelerating Nonconvex Learning via Replica Exchange Langevin Diffusion, 2019 International Conference on Learning Representations [pdf]

18.    Chen Y. and Dong J. (2019) On the Almost Sure Convergence Rate for a Series Expansion of Fractional Brownian Motion, Proceedings of the 2019 Winter Simulation Conference [pdf]

19.    Dong J. and Glynn P.W. (2019) The Asymptotic Validity of Sequential Stopping Rules for Confidence Interval Construction using Standardized Time Series, Proceedings of the 2019 Winter Simulation Conference [pdf]

20.    Dong J., Feng M.B. and Nelson B.L. (2018) Unbiased Metamodeling via Likelihood Ratios, Proceedings of the 2018 Winter Simulation Conference [pdf]

21.    Dong J. and Zhu Y. (2016) Three Asymptotic Regimes for Ranking and Selection with General Sample Distributions, Proceedings of the 2016 Winter Simulation Conference [pdf]

22.    Blanchet J. and Dong J. (2012) Sampling Point Processes on Stable Unbounded Regions and Exact Sampling of Queues, Proceedings of the 2012 Winter Simulation Conference [pdf]




I am grateful for the support provided by the National Science Foundation (NSF) through the following grants.

-           NSF CMMI-1944209, Title: "CAREER: Improving Operational Decision Making with Predictive Information and Data". Duration: Mar 2020 - Feb 2025, Role: PI

-           NSF CMMI-1762544. Title: "Collaborative Research: GOALI: Improving Patient Flow in Hospitals". Duration: Aug 2018 - Jul 2021. Role: PI (Lead PI: Ohad Perry, Industry Co-PI: Stephanie Gravenor at Northwestern Memorial Hospital)

-           NSF DMS-1720433. Title: "Collaborative Research: Tolerance-Enforced Simulation of Stochastic Processes";. Duration: Sep 2017 - Aug 2020. Role: PI (Lead PI: Jose Blanchet)




- Columbia University

    B6100 Managerial Statistics (MBA Core)

     B9323 Introduction to Econometrics and Statistical Inference (PhD Elective)

- Northwestern University

IEMS 435 Introduction to Stochastic Simulation (PhD Core)

IEMS 315 Stochastic Models and Simulation

IEMS 303 Statistics




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