Kai Zhu (朱开)

McGill University

I am an Assistant Professor of Information Systems at McGill University. My research broadly seek to understand the impact of digital technology on our economy, media, politics. I am particularly concerned with bias, inequality, and polarization that may exist in many digital information systems (e.g. Wikipedia, social media, broadcast media, online platforms). I am passionate about working on exposing and understanding such inequities as well as toward learning how we can overcome them to facilitate greater economic and societal outcomes. In my research, I combine machine learning, natural language processing, causal inference, and other computational tools to learn about human behavior and system dynamics in the real-world using large-scale structured and unstructured data.


  • Computational Social Science
  • Causal Inference
  • Text as Data
  • Digital Experimentation
  • Complex Network


  • Ph.D. in Information Systems

    Boston University

  • M.A. in Economics

    Indiana University

  • B.A. in Economics

    Peking University

  • B.S. in Computer Science

    Beijing Language and Culture University

Recent Publications