Brian Rongqing Han

Ph.D. Candidate [CV]

Department of Data Sciences and Operations, Marshall School of Business, University of Southern California

Email: rongqinh@marshall.usc.edu

Tel: +1 818 216 4580

Selected Talks

  • (Job Market Paper) "Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-Mile Stations at Alibaba "
    • INFORMS 2019
    • CIST 2019
    • ICIS 2019 (Accepted, ICIS Conference Proceedings)

Upcoming: TBD

Upcoming: Friday, December 20, 2019, 12:45 pm - 1:45 pm

    • CODE 2019
  • "Maximizing Intervention Effectiveness"
    • INFORMS HAS Meeting 2018 (Finalist, Pierskalla Award)
    • POMS 2018 (Finalist, CHOM Best Paper Competition)
    • M&SOM SIG 2018

About Me

Welcome! I am a Ph.D. Candidate at the Department of Data Sciences and Operations in USC Marshall School of Business and expect to graduate in May 2020. Currently, I am on the job market ([CV]) .

My research addresses how e-commerce platforms can leverage the logistics infrastructure as an offline platform for commercial activities such as promotion and advertisement. Since May 2018, I have been working as a Data Scientist at Alibaba Group---one of the world’s largest e-commerce platforms. In close collaboration with the platform and several major brands, I design large-scale field experiments and develop data-driven optimization to explore innovative business models and generate value.

Please also check out publications, teaching, research theme, and course work for more.

Research Interests

Applications: E-Commerce Platform Innovation; Data-Driven Targeting; Package-Based Personalization; Online-Offline Integration

Methodologies: Field Experiment; Econometrics; Data-Driven Optimization