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