Jiaru Bai

Assistant Professor with Robinson-Lightcap Faculty Fellow
Business Analytics and Operations Management
School of Business
Wake Forest University

Office: Farrell Hall 338
Address: 1834 Wake Forest Rd, Winston-Salem, NC 27109

baij AT wfu.edu / google scholar / papers

Ph.D. in Operations and Decision Technologies, University of California, Irvine, 2017.
M.S. in Statistics, University of California, Irvine, 2014.
B.S. in Economics, Beijing University, 2012.
B.S. in Engineering, Beihang University, 2012.


Jiaru Bai is an assistant professor with Robinson-Lightcap Faculty Fellow at the Wake Forest University School of Business. She received her Ph.D. in Management from the Paul Merage School of Business at the University of California, Irvine. She obtained a Master's degree in Statistics from UC Irvine, a B.S. degree in Engineering from Beihang University, and a double B.S. degree in Economics from Beijing University.

Her research interests lie in the interface between operations and marketing, supply chain management, and healthcare analytics. Her recent work addresses issues in crowd-sourcing platforms. Her research projects apply economic models and statistical models to analyze the tradeoffs between cost and effectiveness in various domains for both managers and individual decision makers. Her research has been published in academic journal such as Manufacturing & Service Operations Management, Production and Operations Management, European Journal of Operational Research, Gynecologic Oncology, etc.


Published Papers

Driver Collusion in Ride-Hailing Platforms
Manish Tripathy, Jiaru Bai, Hans Sebastian (Seb) Heese
Forthcoming at Decision Sciences.
Optimal Subsidy Schemes and Budget Allocations for Government-Subsidized Trade-in Programs
Jiaru Bai, Shu Hu, Luyi Gui, Kut C. So, Zujun Ma
Production and Operations Management, 2021, 30(8):2689-706.
Retail Distribution Strategy with Outlet Stores
Jiaru Bai, Haresh Gurnani and Shuya Yin
Production and Operations Management, 2022, 31(1):281-303.

Coordinating Supply and Demand on an On-demand Service Platform with Impatient Customers
Jiaru Bai, Kut C. So, Christopher S. Tang, Xiqun (Michael) Chen, Hai Wang
Manufacturing & Service Operations Management, 2019, 21(3): 556-570.

This work has received the 2017 POMS Supply Chain Management College Student Paper Competition First Prize.
Cost-effectiveness of niraparib, rucaparib, and olaparib for treatment of platinum-resistant, recurrent ovarian carcinoma
Juliet E. Wolford, Jiaru Bai, Kathleen N. Moore, et al.
Gynecologic Oncology, 2020, 157(2), 500-507.
Comparing Markov and non-Markov alternatives for cost-effectiveness analysis: Insights from a cervical cancer case
Cristina del Campo, Jiaru Bai, L Robin Keller
Operations Research for Health Care, 2019, 21, 32-43.
Evaluating the cost-effectiveness of current FDA-approved PARP inhibitors for the treatment of recurrent ovarian cancer
Juliet E. Wolford, Jiaru Bai, Ramez H. Eskander, Robin L. Keller, et al.
Journal of Clinical Oncology 35, no. 15_suppl (May 2017) 5516-5516.

Cancer Network:
Top 15 most accessed articles of 2017 (Society of Gynecology Oncology).
A queueing model for managing small projects under uncertainties
Jiaru Bai, Kut C. So and Christopher S. Tang
European Journal of Operational Research, 2016, 253(3): 777-790.
A Markov model to evaluate cost-effectiveness of antiangiogenesis therapy using bevacizumab in advanced cervical cancer
Lindsey E. Minion, Jiaru Bai, Bradley J. Monk, Robin L. Keller, et al.
Gynecologic Oncology, 2015, 137(3): 490-496.

Talk slides

Coordinating Supply and Demand on an On-demand Service Platform with Impatient Customers
Invited talks at INFORMS, POMS conferences
We study an on-demand service platform uses earnings-sensitive independent providers with heterogeneous reservation price (for work participation) to serve its wait-time and price sensitive customers with heterogeneous valuation of the service. The platform needs to select the optimal price , wage and payout ratio to maximize its own profit.
Exploring The Rationale Behind Outlet Stores
Invited talks at INFORMS, POMS conferences
In this project, we aim to understand the tradeoffs involved in offering outlet stores. In particular, we study how much differentiation should be kept between the main and outlet stores from three perspectives: price, product and location.
Based on working paper "Retail Distribution Strategy with Outlet Stores".


Graduate and Undergraduate levels.
This course intends to provide students with an overview of the managerial aspects of Supply Chain Management and B2B e-business. The course integrates the perspectives on supply chain management from information systems, operations, marketing and finance. Topics include supply chain strategy, demand planning, inventory management, transportation, distribution, warehousing, and supply chain coordination. It uses lectures, readings, cases, and online simulation games.
Undergraduate level.
This course covers the most important statistical techniques and discuss their applications. The course objectives are: To apply statistical methodologies to analyze a real-world decision-making problem; To understand and explain the results of statistical analysis to business managers in layman terms; To gain proficiency with a statistical software package.