Select Page

Simin Li

 

Hi, I’m an assistant professor of Management Science at the Freeman School of Business. My research focuses on studying the operational challenges and innovations in online platforms and healthcare settings. Through collaboration with industry partners, I examine issues such as demand management and gig labor supply in small to medium-sized service providers that participate on platforms, as well as the platforms themselves.

I received my Ph.D. in Operations Management from the Kellogg School, Northwestern University in 2020. Prior to graduate school, I worked as a data scientist at Microsoft. 

Email me at sli41@tulane.edu. My CV. 

Research

Published and accepted papers

1. “Is Full Price the Full Story When Consumers Have Time and Budget Constraints” with Achal Bassamboo and Martin A. Lariviere. Manufacturing & Service Operations Management, 26(1), 370–388, (January – February 2024).

 

Working papers

1. “Promotional Design for Small Businesses: The Operational Value of Online Deals” with Kejia Hu and Martin A. Lariviere. Major Revision for Management Science, 2021.

Finalist, IBM Service Science Best Student Paper Competition, 2019.

2. “Cents of Urgency: The Impact of a Collocated Urgent Care Center on Emergency Department Overuse” with Achal Bassamboo and Martin A. Lariviere. Reject and Resubmit for Manufacturing & Service Operations Management, 2023.

3. “Disintermediation Evidence From a Cleaning Platform” with Nil Karacaoglu and Ioannis Stamatopoulos. Under Revision, 2024.

4. “No Call, No Show: Impact of No Show and Its Remedies on Service Platforms” with Nil Karacaoglu. Major Revision for Manufacturing & Service Operations Management, 2024.

5. “The Spillover Effects of Giveaways on Gaming Platforms: Evidence from a Quasi-Experiment on Steam” with Campbell Clarkson, Necati Tereyagoglu, and Sriram Venkataraman. Under Review, 2024. (Manuscript Available Upon Request)

6. “Expedited Service Promises: Evidence From a Food Ordering Platform” with Nil Karacaoglu and Luyi Yang. Working Paper, 2024. 

 

Teaching Experience

 

  • MGSC 3010, Introduction to Business Analytics. (Tulane University, undergraduate, Sp21, Sp22, Fa22, Fa23, Fa24)
    • Data cleaning, data visualization, descriptive analysis
    • R coding and experiential learning
  • MGSC 7000, Business Analytics Practicum. (Tulane University, graduate, Master of Business Analytics, Fa22, Fa23, Fa24)
    • Optimization, simulation, forecasting, regressions
    • Spreadsheet modeling

Professional Experience

 

  • Data Scientist, Operating System Group, Microsoft, Redmond, WA.
  • Data Analytics Intern, EXL Services, New York, NY.