Computational Quantum Physicist

I am a Professor in Artificial Intelligence and Condensed Matter Physics @ École Polytechnique and an AI Scientist @ istral, both in Paris.
My research investigates Machine-Learning inspired classical and quantum algorithms to tackle hard problems in quantum physics and chemistry. My main contributions are the development of Neural-Network Quantum States for Out-Of-Equilibrium systems and NetKet, the Machine-Learning toolbox for Quantum Science.