July 8 - July 20, 2013: Quantitative Population Genetics

Scientific Coordinators:

Michael Desai (Harvard University)
Aleksandra Walczak (ENS Paris)
Massimo Vergassola (Institut Pasteur)

      The basic laws of evolution are simple: mutations generate variation, while genetic drift, recombination, and selection change the frequencies of the variants. Yet it is surprisingly difficult to predict how these effects combine to determine how a population will evolve, or to use our observations of genetic variation in nature to infer how evolution has acted in the past. The 2013 Cargese Summer School in Quantitative Population Genetics will give students, postdocs, and researchers in quantitative disciplines (physics, applied math, computer science, population genetics, statistics, and computational and systems biology) an overview of the challenges in the field, and introduce them to current analytical, computational, and experimental methods of addressing the open questions.


Application Deadline: March 31, 2013.
Registration fees: 750€ for grad students, 850€ for others.
Limited fellowships for participants will be available.
Apply Here.

Information on Cargese, including facilities, accomodation, travel, etc., can be found here.

Please see the school poster.

When the School has started, lecture notes, and reading material will be available here.


Confirmed Lecturers:

Michael Laessig - University of Cologne
Yun Song - UC Berkeley
Bernard Dujon - Institut Pasteur
Dmitri Petrov - Stanford University
Isabel Gordo - Institute Gulbenkian
Daniel Fisher - Stanford University
Colin Russell - University of Cambridge
Thierry Mora - ENS Paris
Richard Neher - MPI Tuebingen
David Bensimon - ENS Paris
Anna DiRienzo - University of Chicago
Sheri Simmons - Marine Biological Laboratory
Oskar Hallatschek - UC Berkeley
Sander Tans - AMOLF
Guy Sella - Hebrew University


This Cargese Summer School is designed to educate students, postdocs, and researchers in quantitative disciplines (physics, applied math, computer science, population genetics, statistics, and computational and systems biology) in Quantitative Population Genetics. The goal is to provide an overview of the challenges in the field, and introduce them to current analytical, computational, and experimental methods of addressing the open questions. The school is supported by the National Science Foundation (NSF), the Centre national de la recherche scientifique (CNRS), the Institute for Complex Adaptive Matter (ICAM), and the Fondation Pierre-Gilles de Gennes.