Assistant Professor of Business Analytics and Operations
School of Management
Binghamton University, State University of New York
Binghamton, NY, USA
Office: 262 Academic Building A
Address: PO Box 6000,
Binghamton, NY 13902
jbai AT binghamton.edu /
google scholar /
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 joined the Binghamton University School of Management in 2017 as an assistant professor of Business Analytics and Operations.
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 management and marketing, supply chain management, medical decision analysis and behavioral operations management. Her recent work addresses supply chain coordination in crowd-sourcing platforms. Her research has been published in academic journal such as European Journal of Operational Research, Gynecologic Oncology.
A PDF version of CV is available HERE
Professor Bai is interested in interdisciplinary research problems related to supply chain management, decision analysis, marketing and healthcare.
Her research projects apply Markov models, queueing theory and economic models to analyze the tradeoffs between cost and effectiveness in various domains for
both managers and individual decision makers.
Topics of her recent research include sharing economy, distribution channel design and coordination, medical decision analysis, etc.
Coordinating Supply and Demand on an On-demand Service Platform: Price, Wage, and Payout Ratio
UCLA Anderson Review:
This work has received the 2017 POMS Supply Chain Management College Student Paper Competition First Prize
Conditionally Accepted at MSO&M .
Retail Distribution Strategy with Outlet Stores
Revise and Resubmit at Journal of Retailing.
A queueing model for managing small projects under uncertainties
European Journal of Operational Research, 2016, 253(3): 777-790.
Abstract: Evaluating the cost-effectiveness of current FDA-approved PARP inhibitors for the treatment of recurrent ovarian cancer
Journal of Clinical Oncology 35, no. 15_suppl (May 2017) 5516-5516.
This work has been recognized as the Top 15
most accessed articles of 2017 by the Society of Gynecology Oncology.
A Markov model to evaluate cost-effectiveness of antiangiogenesis therapy using bevacizumab in advanced cervical cancer
Gynecologic Oncology, 2015, 137(3): 490-496.
Markov Chain Models in Practice: A Review of Low Cost Software Options
Investigacion Operacional 38.1 (2017): 56-63.
Dynamics of a Prey-Dependent Digestive Model with State-Dependent Impulsive Control
International Journal of Bifurcation and Chaos, 2012, 22(04): 1250092.
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.
Working paper is available on SSRN
Exploring The Rational 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".
Markov Cost-Effectiveness Analysis For Cancer Treatment
Invited talks at INFORMS conferences
We present a way to build a Markov decision tree to model cancer progression and cost-effectiveness analysis for two or more cancer treatments.
We propose several problems researchers can encounter in this kind of research and provide possible solutions. The method is used for a clinical study comparing two cervical cancer treatments.
Fall 2017, Graduate and Undergraduate levels. Syllabus available
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.
Summer 2016, Undergraduate level. Syllabus available
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 (EXCEL, MINITAB).
TA courses at UC Irvine
Courses: Management Science, Statistics, Decision Analysis, Operations Management, Supply Chain Management
Students: Healthcare Executive MBA, Fully Employed MBA, Full-time MBA and undergraduate levels