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Xiang Liu, Associate Professor

Contacts

Name: Xiang Liu Phone: +86-10-627-94823 E-mail: xiang-liu@mail.tsinghua.edu.cn Fax: +86-10-6279-4399 Address: 514 South Shunde Building Homepage:

Biography


Honors and Awards

Finalist, Beijing Data Enabled Medical Insurance Research Competition, 2020
Runner-up, POMS Wickham Skinner Award, 2019
Finalist, MSOM Data Driven Research Challenge, 2018
Best Poster Award, American Urological Association, 2017
Finalist, INFORMS PSOR Best Paper Award, 2013    

Educational Background

PhD Industrial and Operations Engineering, University of Michigan, 2019
MS Industrial Engineering and Operations Research, University of California at Berkeley, 2014
BSE Industrial and Operatiosn Engineering, University of Michigan, 2013
BS Mechanical Engineering, Shanghai Jiao Tong University, 2013    

Employment History

Associate Professor, Department of Industrial Engineering,Tsinghua University, 2022.6 – now
Assistant Professor, Department of Industrial Engineering,Tsinghua University, 2019.10 – 2022.6

Courses

Chinese Industry Studies, Tsinghua University
Strategic Management, Tsinghua University
Introduction to Dynamic Programming, Tsinghua University
IOE 202 Operations Modeling, University of Michigan    

           

Publications

Working Paper

· X. Liu, M. S. Lavieri, J. E. Helm, T. A. Skolarus, “Time for accountability: Are readmission responsibility windows too long?” Major Revision at Operations Research, 2021.

· M. Li, S. Nassiri, X. Liu, C. Elimoottil, “How Does Telemedicine Shape Physician’s Practice in Mental Health?” Submitted to Management Science, 2021.

· N. Li, F. Yuan, X. Ma, X. Liu, “Allocation of Telemedicine Capacity in a Regional Hierarchical System for Community-Based Care,” Submitted to IISE Transactions on Healthcare Systems Engineering, 2020.


Published Journal Article

1. X. Liu, et al. "Comparison of Telemedicine Versus In-Person Visits on Impact of Downstream Utilization of Care," Telemedicine and e-Health, https://doi.org/10.1089/tmj.2020.0286, 2021.

2. P. Kirk, X. Liu, et al., "Dynamic readmission prediction using routine postoperative laboratory results after radical cystectomy," Urologic Oncology: Seminars and Original Investigations, vol. 38, no. 4, pp. 255–261, 2020.

3. A. Lee, X. Liu, et al., “Role of post-acute care on hospital readmission after high-risk surgery,” Journal of Surgical Research, vol. 234, pp. 116–122, 2019.

4. P. Kirk, T. A. Skolarus, B. Jacobs, Y. Qin, B. Li, M. Sessine, X. Liu, et al., “Characterizing ‘Bounce-back’ Readmissions After Radical Cystectomy,” BJU International, vol. 12 pp. 1416–1423, 2019.

5. G.-G. Garcia, K. Nitta, M. S. Lavieri, C. Andrews, X. Liu, et al., “Using Kalman Filtering to Forecast Disease Trajectory for Patients with Normal Tension Glaucoma,” American Journal of Ophthalmology, vol. 60, no. 9, pp. 2857–2857, 2019.

6. X. Liu, M. Hu, J. E. Helm, M. S. Lavieri, and T. A. Skolarus, “Missed opportunities in preventing hospital readmissions: Redesigning post-discharge checkup policies,” Production and Operations Management, vol. 27, no. 12, pp. 2226–2250, 2018.

7. W. Hu, M. S. Lavieri, A. Toriello, and X. Liu, “Strategic health workforce planning,” IIE Transactions, vol. 48, no. 12, pp. 1127–1138, 2016.

8. N. Krishnan, X. Liu, et al., “A model to optimize followup care and reduce hospital readmissions after radical cystectomy,” The Journal of Urology, vol. 195, no. 5, pp. 1362– 1367, 2016.

9. G. J. Schell, M. S. Lavieri, J. E. Helm, X. Liu, et al., “Using filtered forecasting techniques to determine personalized monitoring schedules for patients with open-angle glaucoma,” Ophthalmology, vol. 121, no. 8, pp. 1539–1546, 2014.


Conference Abstracts

1. G.-G. Garcia, M. S. Lavieri, C. Andrews, X. Liu, et al., “Using a Machine Learning Technique Called Kalman Filtering to Forecast Conversion from Ocular Hypertension to Primary Open Angle Glaucoma,” Investigative Ophthalmology & Visual Science, vol. 50, no. 9 pp. 2857–2857, 2019.

2. M. Sessine, T. Borza, A. Weizer, P. Kirk, X. Liu, et al., “MP71-02 reframing readmission reduction incentives after radical cystectomy,” The Journal of Urology, vol. 199, no. 4, e943, 2018.

3. P. Kirk, X. Liu, et al., “MP71-04 assessing laboratory parameters and readmissions after radical cystectomy,” The Journal of Urology, vol. 199, no. 4, e944, 2018.

4. S. Finley, S. Joshi, T. Borza, X. Liu, et al., “MP04-06 personalized decision support tool to prevent hospital readmission for patients treated with radical cystectomy,” The Journal of Urology, vol. 197, no. 4, e30, 2017.

5. M. S. Lavieri, X. Liu, et al., “Using kalman filtering to personalize the monitoring of persons with normal tension glaucoma,” Investigative Ophthalmology & Visual Science, vol. 58, no. 8, pp. 2870–2870, 2017.

6. N. Krishnan, X. Liu, et al., “PD25-08 a model to optimize follow-up care and reduce hospital readmissions after radical cystectomy,” The Journal of Urology, vol. 193, no. 4, e563, 2015.


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Department of Industrial Engineering, Tsinghua University
Phone: 010-62772989
Fax:010-62794399
E-mail:ieoffice@tsinghua.edu.cn
Address:Shunde Building, Tsinghua University, Beijing 100084


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