FREDDY LIM
About Me Upcoming Research Teaching
portrait

Hello! I am an Assistant Professor of Information Systems and Analytics at the National University of Singapore, School of Computing. I am also affiliated with the NUS Artificial Intelligence Institute.

I am interested in data driven and practice oriented research. In my current research, I analyze data from firms to understand consumer behaviors and purchase decisions on digital platforms, and derive recommendations to optimize firm operations and pricing. Methodologically, I employ econometrics, Bayesian modeling, and machine learning techniques through structural and reduced form modeling.

Prior to joining academia, I worked across the banking and aerospace industries in various quantitative positions. Please feel free to reach out!


freddy [at] nus.edu.sg     CV     LinkedIn    

UPCOMING TALKS

INFORMS ANNUAL

28 October 2025, 1:45 PM
Building B Level 3 B308, Georgia World Congress Center, Atlanta

AI-X INDUSTRY DAY

18 November 2025, 9:00AM - 1:30PM
Shaw Foundation Alumni House Auditorium, NUS
Event info  

POMS HONG KONG

Date & time TBC
CUHK Shenzhen

RESEARCH

ACADEMIC PUBLICATIONS

Lim F, Chun SY, Satopää V (2024) Loyalty Currency and Mental Accounting: Do Consumers Treat Points Like Money?
Manufacturing & Service Operations Management 26(5):1878-1896
Abstract   Journal   Paper  

PRACTITIONER ARTICLES

Chun SY, Lim F, Satopää V (2024) Consumers Spend Loyalty Points and Cash Differently.
Harvard Business Review, Digital Article
Article  

WORKING PAPERS

Lim F, Chun SY (2025) Points Plus Money: Uncovering the Impact of Mixed Currency Redemptions.
Abstract   SSRN   Paper  

IN PROGRESS

Loyalty program point purchase behaviors and algorithmic pricing
Social media trends and apparel demand

TEACHING

NUS

Econometrics Modeling for Business Analytics (BT2101), BSc Business Analytics
Instructor (Aug 2025)
Syllabus  

Risk Analytics for Financial Services (BT4016), BSc Business Analytics
Instructor (Jan 2025)
Syllabus  

INSEAD

Data Science for Business, MBA
Tutorial instructor (May 2023)

Uncertainty, Data and Judgment, Executive MBA & MBA
Tutorial instructor (Jan 2024, Jan 2022, Sep 2021, Jan 2021, Sep 2020, Sep 2019)