Wenjia Ba

About Me


I am a PhD candidate from Stanford Graduate School of Business, co-advised by Prof. Haim Mendelson and Prof. Michael Harrison.

My research focuses on understanding sequential interactions using both the data-driven algorithmic approach and the modeling approach. In my research, I apply machine learning, revenue management, and probability theory to applications such as online advertising, games, and emerging platforms like virtual assistants.

Previously, I received my bachelor's degree in Mathematics and Applied Mathematics from Fudan University in 2016.

Teaching Experience

  • OIT 256: Optimization and Simulation Modeling (Base)

    • Core MBA class for first-year MBAs

    • Teaching assistant

    • Fall 2018, Fall 2019

  • OIT 356: Electronic Business

    • Elective MBA class

    • Teaching assistant

    • Winter 2019, Spring 2020 (virtual)

Recent Talks

Online Advertising via Bandit Experiment: An Efficient Method Suitable for High-dimensional Problems

  • INFORMS Annual Meeting 2021, Anaheim, CA

  • JD.com Research Seminar 2021, Virtual

  • MOILS (Operation Management Lunch Seminar) 2021, NYU Stern, Virtual

Sales Policies for a Virtual Assistant Platform

  • INFORMS Annual Meeting 2019, Seattle, WA

  • Revenue Management and Pricing 2019, Stanford, CA

  • MSOM Conference 2019, Singapore


Select Honors

  • Theodore J. and Esther E. Kreps Fellowship, 2021

  • The Eleanor H. and Walter A. Holt Fellowship, 2020 & 2021

  • The Dipanjan and Shashikala Deb Fellowship, 2019

  • Ernest T. Hinshaw, Jr. and Nell Hinshaw Fellowship, 2017 & 2018

  • EDGE: Enhancing Diversity in Graduate Education Doctoral Fellowship Program, 2016

  • MBA Class of 1980 Doctoral Fellowship, 2016

  • Graduate with honor of Shanghai City (Top 1%), 2016

  • Meritorious Winner of Mathematical Contest in Modeling (MCM) (Top 9%), 2015

  • China Scholarship Council (CSC) Scholarship, 2014

  • National Scholarship (Top 1%), 2013 & 2014