**Jing Dong**

DeRosa Family 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 DeRosa Family 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.

**News: **

I am co-organizing an online-seminar series:
Women in Data Science and Mathematics. More information can be found here.** **

**Research:**

**- Working Papers:**

1.
Che E., Dong J., and Tong X.T., Stochastic Gradient Descent with Adaptive Data
[pdf]

2.
Chan C., Chen Y., Dong J., Rossetti S., The Impact of Historical Workload
on the Nurse’s Perceived Workload [pdf]

3.
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][presentation]

- Qin J., Finalist, 2023
INFORMS HAS Best Student Paper Competition

- Qin J., Finalist, 2023
IBM Best Student Paper Competition

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 Primal-Dual Algorithm to Constrained
Markov Decision Processes [pdf]

6.
Dong J. and Ibrahim R., Shortest-Job-First Scheduling in Many-Server
Queues with Impatient Customers and Noisy Service-Time Estimates [pdf]

7.
Dong J., Shi P., Zheng F., and Jin X., Capacity Management in Networks: A
Structural Estimation Approach for Hospital Inpatient Wards [pdf]

8.
Chen Y. and Dong J., Scheduling with Service-Time Information: the Power of Two Priority Classes [pdf]

- Honorable Mention,
2020 INFORMS JFIG Paper Competition

9.
Hu Y., Dong J., and Perry O., Asymptotic Optimality of Base-Stock Policies
with Idle Times for Stochastic Economic Lot Scheduling Problems [pdf]

10.
Hu Y., Dong J., and Perry O., Existence and Approximations of Moments for
Polling Systems under the Binomial-Exhaustive Policy [pdf]

11.
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

12.
Dong J. and Glynn P.W., A New Approach to Sequential Stopping for
Stochastic Simulation [pdf]

**- Publications:**

**Stochastic
Modeling:**

1.
Hu Y., Chan C., and Dong J. (2023), Prediction-Driven Surge Planning with
Application in the Emergency Department, forthcoming in *Management Science*
[pdf] [presentation]

- Hu Y., Finalist, 2022
Doing Good with Good OR Student Paper Competition

2.
Dong J., Gorgulu B., and Sarhangian
V. (2023), What Causes Delays in Admission to Rehabilitation Care? A Structural
Estimation Approach, forthcoming in Manufacturing & Service Operations
Management [pdf]

3.
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

4.
Hu Y., Dong J., and Perry O. (2022), Asymptotic Optimality of
Binomial-Exhaustive Policy for Polling Systems with Large Switchover Times, *Annals of Applied Probability 32(6), pp
4803-4848 *[pdf]

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

5.
Zychlinski N., Chan C., and Dong J. (2023), Managing Queues with
Different Resource Requirements, *Operations
Research, 71(4), pp 1387-1413* [pdf]

6.
Dong J. (2022), Metastabilty in Queue, *Queueing Systems 100, Special Issue 100
Views on Queues *[pdf]

7.
Dong J. and Ibrahim, R. (2021), SRPT Scheduling Discipline in Many-Server
Queues with Impatient Customers, *Management
Science, 67(12), pp 7708-7718* [pdf]* *

8.
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] [presentation]

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

9.
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]

10.
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]

11.
Dong J. and Perry O. (2020), Queueing Models for Patient-Flow Dynamics in
Inpatient Wards, *Operations Research
68(2), pp 250-275* [pdf]

12.
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__]

13.
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]

14.
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:**

15.
Zhu Y., Dong J., and Lam H. (2022) Efficient Uncertainty Quantification
and Exploration for Reinforcement Learning, forthcoming in *Operations Research* [pdf]

16.
Dong J. and Tong X.T. (2022), Spectral Gap of Replica Exchange Langevin
Diffusion on Mixture Distributions, *Stochastic
Processes and their Applications 151, pp 451-489* [pdf] [presentation]

17.
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,
Springer-Verlag, pp 41 - 63* [pdf]** **

18.
Dong J. and Tong X.T. (2021), Replica Exchange for Non-Convex
Optimization, *Journal of Machine Learning
Research 22 (173)* [pdf] [presentation]

19.
Chen Y., Dong J., and Ni H. (2021), epsilon-Strong Simulation of Fractional
Brownian Motion and Related Stochastic Differential Equations, *Mathematics of* *Operations Research 46(2), pp 559-594* [pdf]** **

20.
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]** **

21.
Blanchet J., Dong J., and Pei Y. (2018), Perfect Sampling of GI/GI/c
Queues, *Queueing Systems 90 (1-2) 1-33 *[__pdf__]

22.
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), pp 275-336* [pdf]

23.
Blanchet J. and Dong J. (2015), Perfect Sampling for
Infinite Server and Loss Systems, *Advances in Applied Probability 47(3), pp
761-786 *[pdf]

**Conference
Proceedings:**

24. 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]

25. 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]

26. 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]

27.
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]

28.
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]

29.
Dong J., Feng M.B., and Nelson B.L.
(2018) Unbiased Metamodeling via Likelihood Ratios, *Proceedings of the 2018
Winter Simulation Conference *[pdf]

30.
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]

31.
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: **

*32. *Qin J.,
Chan C., Dong J., Homma S., Ye S. (2023), Telemedicine is Associated with Reduced Socioeconomic Disparity in
Outpatient Clinic No-Show Rates, forthcoming in *Journal of
Telemedicine and Telecare *

*33. *Hu Y.,
Cato K.D., Chan C., Dong J., Gavin N., Rossetti S.C., Chang B.P. (2023), Use of Real-Time Information to Predict Future Arrivals in the Emergency
Department, *Annals of Emergency Medicine 81(6), pp
728-737*

*34. *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 43-51.*

*35. *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,
*The* *Joint Commission Journal on Quality and Patient Safety 47(6), pp
354-363. *

36. Gershengorn H.B., Hu
Y., Chen J.-T., Hsieh S.J., Dong J., Gong M.N., Chan C.W. (2021), The Impact of
High-Flow Nasal Cannula Use on Patient Mortality and the Availability of
Mechanical Ventilators in COVID-19, *Annals of the American Thoracic Society 18(4) pp 623-631*.

**Grants:**

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)

**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