Wei Tang

About Me

I am a postdoctoral fellow at the Data Science Institute, Columbia University, mentored by Shipra Agrawal. I completed my Ph.D. in Computer Science at Washington University in St. Louis, where I was fortunate to be advised by Chien-Ju Ho. I received my bachelor degree from Tianjin University, China.

My research interests are in machine learning, algorithmic economics, and online behavioral experiments, with a focus on developing theoretically rigorous, empirically grounded frameworks to understand and design algorithmic systems that integrate humans in the design process. More recently, I am working on designing learning algorithms that can help to achieve the desired societal outcomes and provide domain-specific insights for societally relevant applications.

Email: wt2359 at columbia dot edu

Working Paper

  • Dynamic Pricing and Learning with Bayesian Persuasion
    (α-β). Shipra Agrawal, Yiding Feng, Wei Tang.

  • Rationality-Robust Information Design: Bayesian Persuasion under Quantal Response
    (α-β). Yiding Feng, Chien-Ju Ho, Wei Tang.
    [full version]



It's also been my good fortune to be working with: Bolin Ding, Yiding Feng, Yang Liu, Saumik Narayanan, Haifeng Xu, Ming Yin, Guanghui Yu.