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: 932
Kravis Hall, 665 W 130th Street, 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.
News:
I am coorganizing
an onlineseminar series: Women in Data Science and Mathematics. More
information can be found here.
Research:

Working Papers:
1.
Chan C., Chen Y., Dong J., Rossetti S., The Impact of
Historical Workload on the Nurse’s Perceived Workload [pdf]
2.
Qin J., Chan C., Dong J., Homma S., and Ye. S., Waiting
Online versus Offline: An Empirical Study on Visit Incompletion in Outpatient
Clinics [pdf]

Qin J., Finalist, 2023
INFORMS HAS Best Student Paper Competition
3.
Dong J., Gorgulu B., and Sarhangian V., What
Causes Delays in Admission to
Rehabilitation Care? A Structural Estimation Approach [pdf]
4.
Cui T., Dong J., Jasra A., and
Tong T.X., Convergence Speed and Approximation Accuracy of Numerical MCMC [pdf]
5.
Chen Y., Dong J., and Wang Z., A PrimalDual Algorithm to
Constrained Markov Decision Processes [pdf]
6.
Dong J. and Ibrahim R., ShortestJobFirst Scheduling in
ManyServer Queues with Impatient Customers and Noisy ServiceTime Estimates [pdf]
7.
Hu Y., Chan C., and Dong J., PredictionDriven Surge
Planning with Application in the Emergency Department [pdf] [presentation]

Hu Y., Finalist, 2022 Doing Good with Good OR
Student Paper Competition
8.
Dong J., Shi P., Zheng F., and Jin X., Structural
Estimation of Load Balancing Behavior in Inpatient Ward Network [pdf]
9.
Chen Y. and Dong J., Scheduling with ServiceTime
Information: the Power of Two Priority Classes [pdf]

Honorable Mention,
2020 INFORMS JFIG Paper Competition
10.
Hu Y., Dong J., and Perry O., Asymptotic Optimality of
BaseStock Policies with Idle Times for Stochastic Economic Lot Scheduling
Problems [pdf]
11.
Hu Y., Dong J., and Perry O., Existence and Approximations
of Moments for Polling Systems under the BinomialExhaustive Policy [pdf]
12.
Dong J., Shi P., Zheng F., and Jin X., OffService
Placement in Inpatient Ward Network: Resource Pooling versus Service Slowdown [pdf]
13.
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:
Stochastic Modeling:
1.
Chen J., Dong J., and Shi P. (2023), Optimal Routing under
Demand Surges: The Value of Future Arrival Rates, forthcoming in Operations Research [pdf]

Chen J., Finalist,
2021 IBM Best Student Paper Competition
2.
Hu Y., Dong J., and Perry O. (2022), Asymptotic Optimality
of BinomialExhaustive Policy for Polling Systems with Large Switchover Times, Annals of
Applied Probability 32(6), pp
48034848 [pdf]

Hu Y., 2020 INFORMS
APS Student Best Paper Award
3.
Zychlinski N.,
Chan C., and Dong J. (2023), Managing Queues with Different Resource
Requirements, Operations Research, 71(4),
pp 13871413 [pdf]
4.
Dong J. (2022), Metastabilty in
Queue, Queueing Systems 100, Special
Issue 100 Views on Queues [pdf]
5.
Dong J. and Ibrahim, R. (2021), SRPT Scheduling Discipline
in ManyServer Queues with Impatient Customers, Management Science, 67(12), pp 77087718 [pdf]
6.
Hu Y., Chan C., and Dong J. (2021), Optimal Scheduling of Proactive
Service with Customer Deterioration and Improvement, Management Science 68(4), pp2533  2578 [pdf]

Hu Y., Finalist, 2019
IBM Best Student Paper Competition
7.
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]
8.
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]
9.
Dong J. and Perry O. (2020), Queueing Models for
PatientFlow Dynamics in Inpatient Wards, Operations
Research 68(2), pp 250275 [pdf]
10.
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]
11.
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]
12.
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:
13.
Zhu Y., Dong J., and Lam H. (2022) Efficient Uncertainty
Quantification and Exploration for Reinforcement Learning, forthcoming in Operations Research [pdf]
14.
Dong J. and Tong T. X. (2022), Spectral Gap of Replica
Exchange Langevin Diffusion on Mixture Distributions, Stochastic Processes and their Applications 151, pp 451489 [pdf] [presentation]
15.
Blanchet J., Chen L., and Dong J. (2022), Exact Sampling
for the Maximum of Infinite Memory Gaussian Processes, Advances in Modeling and Simulation, Festschrift in honor of Pierre L'Ecuyer,
SpringerVerlag, pp 41  63 [pdf]
16.
Dong J. and Tong T. X. (2021), Replica Exchange for
NonConvex Optimization, Journal of
Machine Learning Research 22 (173) [pdf]
[presentation]
17.
Chen Y., Dong J., and Ni H. (2021), epsilonStrong
Simulation of Fractional Brownian Motion and Related Stochastic Differential
Equations, Mathematics of Operations Research 46(2), pp 559594 [pdf]
18.
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]
19.
Blanchet J., Dong J., and Pei Y. (2018), Perfect Sampling
of GI/GI/c Queues, Queueing Systems 90
(12) 133 [pdf]
20.
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), pp 275336 [pdf]
21.
Blanchet J. and Dong J. (2015), Perfect Sampling for Infinite Server and Loss Systems, Advances
in Applied Probability 47(3), pp 761786 [pdf]
Conference Proceedings:
22.
Zhu Y. and Dong J. (2021), On
Constructing Confidence Region for Model Parameters in Stochastic Gradient
Descent via Batch Means, Proceedings of the 2021 Winter
Simulation Conference [pdf]
23.
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]
24.
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]
25.
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]
26.
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]
27.
Dong J., Feng M.B., and Nelson B.L.
(2018) Unbiased Metamodeling via Likelihood Ratios, Proceedings of the 2018
Winter Simulation Conference [pdf]
28.
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]
29.
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]
Medical Journals:
30.
Qin J., Chan C., Dong J., Homma S., Ye S.
(2023), Telemedicine is Associated with Reduced Socioeconomic Disparity in
Outpatient Clinic NoShow Rates, forthcoming in Journal of
Telemedicine and Telecare
31.
Hu Y., Cato K.D., Chan C., Dong J., Gavin
N., Rossetti S.C., Chang B.P. (2023), Use of RealTime Information to Predict Future Arrivals in the Emergency
Department, Annals of Emergency Medicine 81(6), pp
728737
32.
Gorgulu B, Dong J., Hunter K., Bettios
K.M., Vukusic B., Ranisau
J., Spencer G., Tang T., Sarhangian V. (2023), Association between Delayed Discharge from Acute Care and Rehabilitation
Outcomes and Length of Stay: a Retrospective Cohort Study, Archives of Physical Medicine and
Rehabilitation 104(1) pp 4351.
33.
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,
The Joint Commission Journal on Quality and Patient Safety 47(6), pp
354363.
34.
Gershengorn H.B., Hu Y., Chen J.T., Hsieh S.J., Dong
J., Gong M.N., Chan C.W. (2021), The Impact of
HighFlow Nasal Cannula Use on Patient Mortality and the Availability of
Mechanical Ventilators in COVID19, Annals of the American Thoracic Society 18(4) pp 623631.
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)
B9150 Foundations of Operations Management
(PhD 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