About Me

I am currently a postdoc scholar at Stanford Graduate School of Business, working with Prof. Yue Hu.

My research investigates how strategic customer behavior impacts the performance of service systems and develops behavior-aware policies to improve efficiency and outcomes. Leveraging tools from queueing theory, game theory, and optimal control, I aim to provide rigorous insights to guide the design of information provision, incentive mechanisms, and resource allocation policies. I am committed to tackling fundamental theoretical challenges while crafting models that are grounded in real-world applications.

I received my Ph.D. degree from the University of Rochester in 2025, advised by Prof. Ricky Roet-Green. I was a visiting Ph.D. student at Stanford GSB in the Summer of 2024. I received an M.Phil. degree in Supply Chain Management from Lingnan University, Hong Kong, in 2020, and a B.S. degree in Industrial Engineering from Shandong University, China, in 2018.

I am excited to be joining the Department of Decision and Information Sciences at the C. T. Bauer College of Business, University of Houston, as a tenure-track Assistant Professor starting in Fall 2026.

Contact

Email: lzang@stanford.edu

CV | Google Scholar | Linkedin

Research

The Impact of Information-Granularity and Prioritization on Patients’ Care Modality Choices, SSRN

Lin Zang, Yue Hu, Ricky Roet-Green, and Shujing Sun; Major revision at Management Science

- Accept to 2026 MSOM Healthcare Operations Management SIG
- 2nd Place, 2025 MSOM Student Paper Competition
On the Value of Service Age Information, SSRN

Lin Zang, Ricky Roet-Green, and Yoav Kerner; Major revision at Operations Research

Association of Telemedicine Use with Follow-Up Visit Utilization in Primary Care Clinics at an Academic Medical Center

Vijaya Parameswaran*, Lin Zang*, Yue Hu, Ricky Roet-Green, Leah Rosengaus, Christopher Sharp, Steven M. Asch, and Neil M. Kalwani;

(* denotes co-first authorship)

Optimal Batching and Pricing for Power Grid Interconnection Queues, Link

Yue Hu, Omer Karaduman, and Lin Zang; working paper

- Accept to 2026 MSOM Service Management SIG
When Waitline Information Design Meets Service Incentive Design

Lin Zang and Zhoupeng (Jack) Zhang; work in progress

Teaching

Instructor

PhD Elective: MSM503 PhD Summer Camp: Optimization (4.9/5) University of Rochester Pre-fall 2022, 2023
Master Lab: GBA465 Python Analytics for R Programmers Lab (4.6/5 ) University of Rochester Spring A 2023

Teaching Assistant

PhD Core: OIT 614 Foundations of Stochastic Modeling (Instructor: Yue Hu) Stanford University Fall 2025
PhD Elective: CSC435 Optimization for Machine Learning (Instructor: Jiaming Liang) University of Rochester Fall 2023, 2024
MBA Elective: GBA411 Business Modeling (Instructor: Huaxia Rui) University of Rochester Spring A 2022, 2024
MBA Elective: CIS418 Advanced Business Modeling (Instructor: Ricky Roet-Green) University of Rochester Fall B 2021, 2022, 2023
Master Elective: CIS432 Predictive Analytics Using Python (Instructor: Yaron Shaposhnik) University of Rochester Spring B 2022

Awards

2nd Place, 2025 MSOM Student Paper Competition 2025, INFORMS MSOM Society
Simon Doctoral Fellowship 2020-2025, University of Rochester
Full Graduate Fellowship 2018-2020, Lingnan University
Outstanding Undergraduates of Shandong Province 2018, Shandong University
Bronze Medal of the National College Students Entrepreneurship Competition (team leader) 2017, China
Outstanding Student Award (10 recipients/year) 2017, Shandong University
National Scholarship of China 2016, Shandong University