Modelling and controlling biological systems: restricted Boltzmann machines revisited

Speaker: Remi Monasson, Directeur de Recherche CNRS – Professeur École Polytechnique

Abstract

Technological and experimental progress make now possible to measure and perturb systems in various subfields of biology, including neuroscience, genomics, immunology. Exploiting these data, sometimes partial and noisy, and using them to understand and manipulate those systems are fundamental objectives in biology, as well as in bioengineering.

In this talk, I will show some of the works we have done, mostly in the context of protein and RNA modelling and design. I will present the unsupervised learning methods, based on Boltzmann machines, we have developed, and how to make them efficient and interpretable. Last of all, experimental validations of those approaches and perspectives will be presented. 

Bio

Remi Monasson is Director of Research CNRS in the Physics Department of the Ecole Normale Superieure, and professor at the Ecole Polytechnique. His field of research is at the crossroad of statistical physics, machine learning and their applications to the modelling of biological systems, see publications on http://www.phys.ens.fr/~monasson