Physics

Building a mathematical model to artificially recreate proteins? The work of Rémi Monasson and Simona Cocco, researchers at the ENS Physics Laboratory (LPENS), shows how protein models, derived from natural amino acid sequence data, can be used to artificially design functional proteins, whose properties are tested and validated in vivo. A promising discovery for evolutionary biology and biomedical applications, published by the prestigious scientific journal Science.

Interested in mathematics from an early age, and after a preparatory class PCSI/PC (Physics, Chemistry and Engineering Sciences/Physical Chemistry), Meriem Bensouda Koraichi took the competitive exams for engineering schools. 

The new ENS-PSL Center for Quantitative Biology (QBio) aims to be at the forefront of the transformative changes underway in the life sciences, both in their questioning and in their methodology.

Elie Oriol, a doctoral student in the Biology Department at the ENS, was keen to apply physics to the field of health and to humans. "I wanted to go into research, but I wanted to be able to feel the impact and usefulness of my work in a concrete and explicit way," explains Elie. So what better way than to look at a complex, systemic system, made up of interactions and learning: the human nervous system?