Jia Liu 劉佳

LSK4051, HKUST, Clear Water Bay, Hong Kong · +852 2358-7709 · jialiu@ust.hk
I am an Assistant Professor of Marketing at HKUST. My research interests cover a broad range of areas:
  • Consumer search
  • Advertising
  • Pricing
  • Recommender systems
  • User generated content
  • Social Media
  • Big data analytics
  • Behavioral economics
  • Product recalls
  • Product assortments
  • Supply chain management
  • Blockchain
My research often leverages methods from statistics, machine learning, and economics, such as Bayesian methods, topic modeling, deep/graph neural networks, causal inference, and lab/field experiments.

* Prospective Students *

I are looking for perspetive Ph.D. or M.Phil students. The candidate will be co-advised by me and a faculty at the School of Engineering, conducting cross-disciplinary research in the areas of marketing, industrial engineering, and machine learning. Please send me your CV and transcripts, if interested.

* RA Hiring *

I currently only have positions for part-time research assistants.


Experience

Hong Kong University of Science and Technology, HK

Assistant Professor of Markting, August 2018 - Present

Meta (previously Facebook), New York, NY

Academic Collaborator, Core Data Science Team, December 2021 - present

Microsoft Research, New York, NY

Postdoctoral Researcher, Augst 2017 - June 2018
Research Intern, May 2016 - July 2016
Consulting Researcher, February 2016 - April 2016

Advertising Research Foundation, New York, NY

Research Intern, May 2011 - August 2011

Education

Columbia University, New York, NY

Ph.D. in Marketing, 2017
M.S. in Marketing, 2011

Michigan State University, East Lansing, MI

M.S. in Statistics, 2010

Tianjin University, Tianjin, China

B.S. in Mathematics, 2008

Publications

  • Liu, Jia, and Ziwei Cong (2022), ``The Daily Me versus The Daily Others: How Do Recommendation Systems Change User Interests? Evidence from a Knowledge-Sharing Platform?" forthcoming at Journal of Marketing Research . [Paper]
  • Liu, Jia, and Shawndra Hill (2020), “Moment Marketing: Measuring Dynamics in Crosschannel Ad Effectivenes.” Marketing Science, 40 (1), 13-22. [Paper]
    • One of the first few papers accepted by the Marketing Science Frontiers section
  • Liu, Jia, Olivier Toubia, and Shawndra Hill (2020), “Content-based Model of Web Search Behavior: An Application to TV Show Search.” Management Science, 67 (10), 6378-6398. [Paper]
    • Best paper award at the 2018 China Marketing International Conference
  • Liu, Jia, and Asim Ansari (2020), “Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs.” Journal of Marketing Research, 57(3), 422-444. [Paper]
  • Liu, Jia, and Olivier Toubia (2020), “Search Query Formation by Strategic Consumers.” Quantitative Marketing and Economics, 18, 155-194. [Paper]
  • Liu, Jia, and Olivier Toubia (2018), “A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries.” Marketing Science, 37 (6), 930-952. [Paper]
    • Winner, 2018 John Little award for best marketing paper published in Marketing Science, Management Science, or other INFORMS journal
    • Finalist, 2018 Frank M. Bass outstanding dissertation award
    • Chosen for INFORMS press release by Editor-in-Chief of Marketing Science

Please see my CV for working papers and selected projects-in-progress.