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赵倞同
  • 办公室:
  • 职称/职务:讲师
  • 办公电话:
  • 所属教研室:计量与数量经济学系-数量经济学教研室
  • 电子邮箱:zhaojingtong@ruc.edu.cn
  • 研究领域:Revenue Management, Business Analytics, Algorithms, Machine Learning, Healthcare Operations

Education

Ph.D. Operations Research with Specialization in Data Science, Columbia University, Aug 2021, New York USA
B.S. Financial Engineering, Columbia University, May 2016, New York USA

Employment

Assistant Professor, School of Economics, Renmin University of China, Sep 2021 – present.

Publications

1. Jingtong Zhao, Hanqi Wen. Dynamic planning with reusable healthcare resources, Flexible Services and Manufacturing Journal, 1-20, 2021, doi: 10.1007/s10696-021-09411-0.
2. Jingtong Zhao. Synergy between customer segmentation and personalization, Journal of Systems Science and Systems Engineering, 30(3), 276-287, 2021.
3. Xin Pan, Jie Song, Jingtong Zhao, Van-Anh Truong. Online contextual learning with perishable resources allocation. IISE Transactions, 52(12), 1343-1357, 2020.
4. Ward Whitt, Jingtong Zhao. Many‐server loss models with non‐poisson time‐varying arrivals. Naval Research Logistics (NRL), 64(3), 177-202, 2017.
5. Andrew Li, Ward Whitt, Jingtong Zhao. Staffing to stabilize blocking in loss models with time-varying arrival rates. Probability in the Engineering and Informational Sciences, 30(2), 185-211, 2016.

Presentations

1. “Pricing and Ranking under a Cascade Model of Consumer Review Browsing”, INFORMS, Virtual, Nov 2020.
2. “Learning to Rank under Evolving Patient Reviews”, INFORMS Healthcare, MIT, Jul 2019.
3. “Online Contextual Learning with Perishable Resources Allocation”, INFORMS Healthcare, MIT, Jul 2019.
4. “Learning to Rank under Evolving Consumer Reviews”, INFORMS RM&P, Stanford, Jun 2019.
5. “Staffing to Stabilize Blocking in Loss Models with Time-Varying Arrival Rates”, INFORMS, Nashville, Nov 2016.

Honors and Awards

1. Stephen D. Guarino Memorial Award, Columbia University, 2016
2. Summa Cum Laude, Columbia University, 2016
3. Dean’s List, Columbia University, Fall 2012 – May 2016

Skills

• Python, Matlab, C, C++, R, Java, Microsoft (Word, Excel, PowerPoint).
• Machine learning, Reinforcement learning, Deep learning.
• French (intermediate), Spanish (intermediate)