The 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:  Published papers

Preprints (last update: 17/01/2011)

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