Simona Cocco
Chargé de Recherche CNRS


Research/RechercheThe complexity of biological systems makes often difficult to directly measure the interactions between their constituents. Recently I have mainly worked to design new inference algorithms to obtain those interactions using approaches coming from statistical and theoretical physics. Two examples are: The inference of the interaction parameters between a set of binary variables from their sampled frequencies and pairwise correlations. (see Publicatin list: Biophysics: Inverse Problems). The inference of a disordered free energy potential from the observation of random walks in its landscape (see Publicatin list: Biophysics: Inverse Problems). Other lines of research: Modelling of Singule Molecule experiments on DNA and RNA (see Publicatin list: Biophysics: single molecule modelling) Analysis of complexity of Algorithm for SAT problem (see Publication list, Optimisation: analysis of algorithms ) Publications Preprints (last update: 15/03/2013) 
Among my collaborators : R. Monasson, J.Marko, D. Chatenay , S. Leibler , M. Barbi , M. Peyrard , M. Weigt, D. Hekstra, B. Greenbaum, N. Douarche, V. Baldazzi, C. Barbieri, V. Sessak, J. Barton, G. Tavoni, U. Ferrari, E. de Leonardis