Han Chen

Han Chen

Lecturer in Marketing

CV | GitHub | LinkedIn


I am a lecturer in marketing at Monash University. I employ econometrics and causal inference, lab/field experiments, and machine/deep learning to solve marketing problems in the domains of digital advertising, price promotion, product innovation, and human-algorithm interaction. Broadly, my research examines 1) how firms effectively use marketing mix tools to influence consumer behavior in the era of artificial intelligence and the digital world, and 2) how marketers use machine learning algorithms to boost the efficacy of marketing mix tools. My research revolves around (1) the substantive domain of consumers’ responses to marketing messages/disclosures and recommendations, with a special focus on their sequential, dynamic, and unintended effects, and (2) the optimization of firms' sequential marketing interventions.


Ph.D., Marketing

    Temple University, PA, USA
    Dissertation: Marketing Messages, Sequential Effects, and Optimal Disclosure

Master, Management Science and Engineering (ranked 1/31 in class), 2017

    Northeastern University, China
    Thesis: Measurement and Evaluation of User Interactive Experience and Product Design Implications: A Multi-Method Approach Applied to Mobile Shopping Apps

Bachelor, Industrial Engineering (ranked 3/62 in class), 2014

    Northeastern University, China
    Thesis: Optimal Logistics Center Location: Iterative Center-Of-Gravity Method and Application


Ongoing Research


Han Chen, Joydeep Srivastava

  • Working Paper


Han Chen, Yongjun Li

  • Work in Progress

Other Work


Department of Marketing 📧: han.chen@monash.edu
Monash Business School, Monash University 🌐: hanchenresearch.github.io

Last Updated: 08-06-2023

Han Chen