Hadrien Pouget

Hadrien Pouget

About Me

I am currently on a short break before starting a fellowship at the Center on Long Term Risk, where I’ll be investigating how work in Machine Learning interpretability can help produce safe, beneficial AI both short and long-term.

I was most recently a Research Assistant at the Computer Science Department of the University of Oxford, supervised by Daniel Kroening and Tom Melham. My research interests broadly revolve around making sure Machine Learning systems work well. In particular:

  • How do we ensure that they’ve learned what we intended?
  • How do we make them more robust?
  • How do we simplify or explain their reasoning?

Given the incredible potential AI has to transform our society, I’m broadly interested in the safe development and use of AI, in a way that’s beneficial to all. While my current focus has been the technical side of the issue, I also enjoy looking into AI policy and governance.


  • Robustness
  • Explainable AI
  • AI Safety


  • Master of Computer Science, 2019

    1st Class Honours

    University of Oxford

  • BA Computer Science, 2018

    1st Class Honours

    University of Oxford



Research Fellow

Center on Long-Term Risk

Mar 2021 – Jun 2021 London, UK
Planning to carry out research on the relevance of AI explainability methods to the development of safe Transformative AI systems

Research Assistant

University of Oxford

Sep 2019 – Jan 2021 Oxford, UK
Research in Verification and Testing of Machine Learning Systems


Sesame Workshop

Jun 2018 – Sep 2018 New York, USA
Performed analysis of user data in education apps to measure effectiveness


Kamusi Project

Jun 2017 – Sep 2017 EPFL, Switzerland
Contributed to designing and programming multi-platform chatbot for language data collection