Rémi Monasson

Rémi Monasson is a Researcher at the Laboratoire de physique de l’ENS (LPENS) within the Department of Physics at École normale supérieure (ENS-PSL) in Paris, France. His work bridges Statistical Physics, Machine Learning, Biophysics, and Computational Biology. Active in interdisciplinary research, he contributes to understanding complex systems through theoretical modeling and data-driven approaches.

• University: École normale supérieure (ENS-PSL)
• Department: Department of Physics
• Research Interests: Statistical Physics, Machine Learning, Biophysics, Computational Biology, Neural Networks, Protein Structure Prediction
• Email: remi.monasson@phys.ens.fr

Rémi Monasson's recent publications focus on leveraging Restricted Boltzmann Machines for molecular design, protein sequence modeling, and neural network dynamics. His work spans applications in evolutionary biology, immunology, and biological sequence analysis, often integrating statistical mechanics with machine learning methodologies.