Statistical Physics Approaches to Systems Biology

Feb 4 - 15, 2019

Know More

Statistical Physics Approaches to Systems Biology

We will wating for you Monday at 8 a.m. in the Physic Faculty

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.

School Program (version 0.1)

Download School Program Download Workshop Program
  1. Challenges of high-dimensionality and heterogeneity in inference from modern medical data, Prof. Ton Coolen, King's College of London. United Kingdom Download Lectures

  2. Introduction to statistical inference, Prof. Johannes Berg, University of Koln, Germany

  3. Typical properties of optimal encoding of complex high-dimensional data, Pr. Mateo Marsili. ICTP, Italy

  4. Statistical Models for the Inmune System. Prof. Rob de Boer, Utrecht University, The Netherlands

  5. Control Theory and Applications. Bert Kappen, Niemejen, The Netherland

  6. Microbiome and Statistical Physics, Prof. Pankaj Metha, Boston University

  7. Physics of biological behavior and coordination, Prof. Massimo Vergassola, San Diego, USA

  8. Direct Coupling Analysis and Protein Structure Prediction, Prof. Martin Weigt, UPMC. France

  9. Direct Coupling Analysis and Evolution, Prof. E. Aurell. KTH. Sweden


Erick Aurell

Prof. Martin Weigt
UMPC, Paris. France

Prof. Ton Coolen
King's College London, United Kingdom

Prof. Johannes Berg
University of Cologne, Germany

Prof. Matteo Marsili
ICTP, Italy

Prof. Rob de Boer
Utrecht University, The Netherlands

Prof. Massimo Vergassola
UC-San Diego, USA

Prof. Pankaj Metha
Boston University, USA

Other participants

Besides, other members of INFERNET and several colleagues will join us during the school (some even for longer) to present their latest results during the Workshop. Already confirmed,

Prof. Martin Weigt
UMPC, Paris. France

Prof. Alfredo Braustein
Politecnico di Torino-Italy

Erick Aurell

B. Kappen
Radboud University, The Netherlands

K. Leon

Elke K. Market
Beatson Institute, United Kingdom

Prof. Carla Bosia
Polytechnic of Torino, Italy

Prof. Alejandro Fendrik
Universidad General Sarmiento, Buenos Aires

Prof. Lilia Romanelli
Universidad General Sarmiento, Buenos Aires

Prof. Naama Brenner
Technion, Israel

Prof. Silvio Franz
Université Paris-Sud

Prof. Stefano Bo
AlbaNova Univ. Center, Sweden

Prof. Isaac Perez Castillo
UNAM, Mexico

School: Statistical Physics Approaches to Systems Biology (Feb 4 - 15, 2019)

Workshop: (Feb 13-15, 2019)

Physics Faculty University of Havana

Applications will be received
until November 15th 2018.