Welcome!


I'm interested in many things related to Machine Learning, AI for Science, and Open-Endedness.
My research has focused on developing open-ended AI agents that unsupervisedly learn to represent and set their own goals in complex dynamical systems, with the aim to accelerate scientific discovery by assisting humans' exploration of the structures that can self-organize in these systems.

I recently defended my Ph.D. in Machine Learning under the supervision of Pierre-Yves Oudeyer and Clément Moulin-Frier at the FLOWERS team at Inria, Bordeaux; and in collaboration with the Poietis biotech company. Last year, I also went on a 4-month visit to Dr. Michael Levin and his team at the Levin Lab at Tufts University.

Previously, I have been at University College of London where I completed my Master of Science (MSc) in computer vision and at Télécom Paristech where I did my Master of Engineering (MEng). I also spent a year as an AI research intern at Siemens Healthineers, Princeton N.J., working on deep learning and reinforcement learning algorithms for healthcare. My extended CV can be found here.

News:

🚨 Now exploring opportunities for what comes next, please get in touch! 🚨
  • 03/2024: Released the sketch-transformer tutorial to train transformers to generate human-like sketches
  • 02/2024: Our paper about AI-driven discovery of GRN behaviors got accepted into the eLife journal
  • 12/2023: Co-organized the Agent Learning in Open-Endedness Workshop held at NeurIPS 2023 🌱
  • 11/2023: Defended my thesis "Curiosity-driven AI for Science: Automated Discovery of Self-Organized Structures". Thank you to my amazing jury Alan Aspuru-Guzik, Sebastian Risi, Melanie Mitchell, Jeff Clune, and Nicolas Brodu; and supervisors Pierre-Yves Oudeyer, Clément Moulin-Frier and Marc Nicodème 🙏
  • 07/2023: Our Flow Lenia paper won the best paper at ALife 2023 conference
  • 07/2023: Released the SBMLtoODEjax package, check out the documentation and tutorials for more info

Thesis:

Publications:

* stands for equal contribution

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