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

Assistant Professor

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]

 

 

 

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About me:

I am an Assistant Professor 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 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.

 

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Research:

-   Working Papers:

1.    Chen Y., Dong J. and Ni H., epsilon-Strong simulation of fractional Brownian motion and related stochastic differential equations [pdf]

2.   Chen Y. and Dong J., The power of two in queue scheduling [pdf]

3.   Dong J., Shi P., Zheng F. and Jin X., Capacity management in inpatient wards with off-service placement and a network view [pdf][ec]

4.   Dong J. and Ibrahim R., Managing Supply in the On-Demand Economy: Flexible Workers or Full-Time Employees [pdf]

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

6.   Dong J. and Glynn P.W., The Asymptotic Validity of Sequential Stopping Rules for Standardized Time Series [pdf]

7.   Dong J., Glynn P.W. and Zhu Y., A New Approach to Sequential Stopping Rules for Multivariate Stochastic Simulation [pdf]

 

-   Publications (including refereed conference proceedings):

Stochastic Modeling:

1.    Dong J. and Perry O. (2018), Queueing Models for Patient-Flow Dynamics in Inpatient Wards, forthcoming in Operations Research [pdf]

2.   Dong J., Yom-Tov E. and Yom-Tov G. (2018), The Impact of Delay Announcements on Hospital Network Coordination and Waiting Times, forthcoming in Management Science [pdf]

3.   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]

4.   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:

5.    Blanchet J., Dong J. and Liu Z. (2018), Exact Sampling of the Infinite Horizon Maximum of a Random Walk over a Non-linear Boundary, forthcoming in Journal of Applied Probability [pdf]

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

7.   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]

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

9.   Chen Y., Chen J., Dong J., Peng J. and Wang Z. Accelerating nonconvex learning via replica exchange Langevin diffusion, 2019 International Conference on Learning Representations

10.   Dong J., Feng M.B. and Nelson B.L. (2018) Unbiased metamodeling via likelihood ratios, Proceedings of the 2018 Winter Simulation Conference [pdf]

11.   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]

12.  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]

      

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Teaching:

- Columbia University

    B6100 Managerial Statistics (MBA Core)

- Northwestern University

IEMS 435 Introduction to Stochastic Simulation (PhD Core)

IEMS 315 Stochastic Models and Simulation

IEMS 303 Statistics

 

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