Jing Dong
Regina Pitaro Associate Professor of Business
Decision, Risk, and
Operations Division
Graduate School of
Business
Columbia University
Email: jing.dong@gsb.columbia.edu
Address: 413 Uris
Hall, 3022 Broadway, New York, NY 10027
[CV]
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 datadriven stochastic modeling to
improve patient flow in healthcare delivery systems. I also develop efficient
simulation algorithms to facilitate better decisionmaking 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.
Research:
 Working Papers:
1.
Chen Y. and Dong J., Scheduling with
ServiceTime 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 PrimalDual
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 NonConvex Optimization [pdf] [presentation]
6.
Hu Y., Dong J., and Perry O.,
Asymptotic Optimality of BinomialExhaustive 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
BinomialExhaustive 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., OffService 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 ManyServer 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 PatientFlow 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 HighFlow Nasal Cannula Use on Patient
Mortality and the Availability of Mechanical Ventilators in COVID19,
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 SkillBased Routing with Applications to Service Operations
Management, Queueing Systems 96, pp
5382 [pdf]
6.
Dong J. and Ibrahim R. (2020),
Managing Supply in the OnDemand Economy: Flexible Workers, FullTime Employees
or Both, Operations Research 68(4), pp 12381264 [pdf]
7.
Dong J. and Perry O. (2020), Queueing Models for PatientFlow Dynamics in Inpatient
Wards, Operations Research 68(2), pp 250275 [pdf]
8.
Dong J., YomTov E. and YomTov G.
(2019), The Impact of Delay Announcements on Hospital Network Coordination and
Waiting Times, Management Science 65(5), pp 19691994 [pdf]
9.
Chan C., Dong J. and Green L. (2017) Queues
with TimeVarying Arrivals and Inspections with Applications to Hospital
Discharge Policies, Operations Research
65(2), pp 469495 [pdf]
10. Dong J., Feldman P. and YomTov 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), epsilonStrong 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 Nonlinear Boundary, Journal of Applied Probability 56(1), pp
116138 [pdf]
13. Blanchet J., Dong J. and Pei Y. (2018), Perfect Sampling of GI/GI/c
Queues, Queueing Systems 90 (12) 133 [pdf]
14. Blanchet J., Chen X. and Dong J. (2017) epsilonStrong Simulation for
Multidimensional Stochastic Differential Equations via Rough Path Analysis, Annals of Applied Probability 27(1) 275336 [pdf]
15. Blanchet J. and Dong J. (2015)
Perfect Sampling for Infinite Server and Loss Systems, Advances in Applied
Probability 47(3), pp 761786 [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]
Grants:
I am grateful for the support provided by the
National Science Foundation (NSF) through the following grants.

NSF CMMI1944209, Title: "CAREER: Improving
Operational Decision Making with Predictive Information and Data".
Duration: Mar 2020  Feb 2025, Role: PI

NSF CMMI1762544. Title: "Collaborative Research:
GOALI: Improving Patient Flow in Hospitals". Duration: Aug 2018  Jul
2021. Role: PI (Lead PI: Ohad Perry, Industry CoPI:
Stephanie Gravenor at Northwestern Memorial Hospital)

NSF DMS1720433. Title: "Collaborative Research:
ToleranceEnforced Simulation of Stochastic Processes";. Duration: Sep
2017  Aug 2020. Role: PI (Lead PI: Jose Blanchet)
Teaching:

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