Andrew Bennett

Andrew Bennett

Machine Learning Researcher

Morgan Stanley

I am a machine learning researcher in the Machine Learning Research group at Morgan Stanley. I have diverse research interests in the area of machine learning, with particular interest in causal machine learning, data-driven decision making, reinforcement learning, econometrics, and probabilistic machine learning. Before that, I was a PhD student at Cornell University in the Computer Science department, supervised by Nathan Kallus.

Interests

  • Causal Machine Learning
  • Data-driven Decision Making
  • Reinforcement Learning
  • Econometrics
  • Probabilistic Machine Learning

Education

  • Doctor of Philosophy in Computer Science, 2023

    Cornell University

  • Master of Science in Computer Science, 2016

    The University of Melbourne

  • Bachelor of Science, 2013

    The University of Melbourne