Andrew Bennett

Andrew Bennett

PhD Student

Cornell University


I am a fifth year PhD student at Cornell University in the Computer Science department, supervised by Nathan Kallus. My current research focus is at the intersection of causal inference, machine learning, and econometrics, with particular interest in causal inference under unmeasured confounding, reinforcement learning, and efficiently solving high-dimensional conditional moment problems. Previously, during my Masters at the University of Melbourne, I conducted research in Natural Language Processing and Computational Linguistics.


  • Causal Inference
  • Machine Learning
  • Reinforcement Learning
  • Econometrics


  • Master of Science in Computer Science, 2016

    The University of Melbourne

  • Bachelor of Science, 2013

    The University of Melbourne