Andries Rosseau

andries.rosseau [AT] vub.be

Andries Rosseau

PhD student in Artificial Intelligence

PhD researcher working on continual learning with deep neural networks (i.e. how intelligent systems can keep learning and adapt). My work draws on statistical physics and dynamical systems, and extends to (multi-agent) reinforcement learning.

Alongside my technical research, I think and speak about the existential risks of advanced AI, often linking AI to broader themes such as geopolitical instability and energy. I have been invited to speak at the Flemish Parliament, VRT (public broadcast of Flanders), universities, industry, etc., and I am happy to give talks on this topic and on AI in general to help raise awareness and improve public AI literacy.

Other interests include effective altruism, game theory, AI for science (e.g. protein folding), nuclear fusion, cosmology, the evolution of cooperation, longevity, mindfulness, climbing, and trail running.

Keywords: deep learning; dynamical systems; complex systems; statistical physics; multi-agent; reinforcement learning; deep learning; evolution; emergence; social dilemmas
 

Previous work experience

  • Machine Learning EngineerIn The Pocket

Education

  • Master of Science: Physics & Astronomy (Magna cum Laude)Ghent University

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