The last few years have witnessed an interdisciplinary convergence of interest between the fields of statistical physics, information theory, computational optimization, and the analysis of complex systems in biology, such as regulatory networks and genetic phylogeny. Hot questions in computational optimization, biological information, and complexity will be presented, emphasizing how ideas from statistical physics can be useful in these disciplines. Topics covered in this workshop should include combinatorial optimization, message passing and the statistical physics of disordered systems, gene regulatory networks and sequence analysis, genomic, phylogenetic genetics, neural networks and the evolution in biological and social systems.

Scientific Coordination:

Silvio Franz, Florent Krzakala