The School will focus on the use of Statistical Physics techniques to the study of complex biological systems, The school will make special emphasis in the recent developments in data analysis as well as in the understanding of immunology, metabolism, cancer heterogeneity and general evolutionary processes in biological systems.
The school aims to gather in Latin America international renowned specialists in the field of Statistical Physics and Systems Biology, both theoreticians and experimentalists. It will take place at Physics Faculty, Havana University, Cuba.
Participants will be, most likely, Master, PhD students, Post-Docs and young researchers working in systems biology, statistical mechanics, bio-informatics or data analysis, with interest/experience in theoretical models. Latin american students as well as those from INFERNET european project are most welcome to apply. there is no registration fee.
The last two days of the meeting will held in a more advanced workshop format, with a wider spectrum of topics, including inverse problems, biological networks and theoretical immunology.
Challenges of high-dimensionality and heterogeneity in inference from modern medical data, Prof. Ton Coolen, King's College of London. United Kingdom Download Lectures
Introduction to statistical inference, Prof. Johannes Berg, University of Koln, Germany
Typical properties of optimal encoding of complex high-dimensional data, Pr. Mateo Marsili. ICTP, Italy
Statistical Models for the Inmune System. Prof. Rob de Boer, Utrecht University, The Netherlands
Control Theory and Applications. Bert Kappen, Niemejen, The Netherland
Microbiome and Statistical Physics, Prof. Pankaj Metha, Boston University
Physics of biological behavior and coordination, Prof. Massimo Vergassola, San Diego, USA
Direct Coupling Analysis and Protein Structure Prediction, Prof. Martin Weigt, UPMC. France
Direct Coupling Analysis and Evolution, Prof. E. Aurell. KTH. Sweden