Ecology, epidemiology and evolution
Ecologie, épidémiologie et évolution

23 – 27 October, 2023


Organizing Committee
Comité d’organisation

Vincent Calvez (CNRS , Université Claude Bernard Lyon 1)
Florence Débarre (CNRS – Sorbonne Université)
Léo Girardin (CNRS , Université Claude Bernard Lyon 1)
Hélène Leman (INRIA – ENS Lyon)

IMPORTANT WARNING:  Scam / Phishing / SMiShing ! Note that ill-intentioned people may be trying to contact some of participants by email or phone to get money and personal details, by pretending to be part of the staff of our conference center (CIRM).  CIRM and the organizers will NEVER contact you by phone on this issue and will NEVER ask you to pay for accommodation/ board / possible registration fee in advance. Any due payment will be taken onsite at CIRM during your stay.

The topics covered during this fall school will include a panorama of mathematical methods and theories in ecology and evolutionary biology, with specialized courses in reaction-diffusion, asymptotic methods in PDE for biology, stochastic processes (branching processes, coalescent theory, measured value processes), as well as recent progress in phylodynamics and applied epidemiology.

Les thématiques abordées durant cette école d’automne couvreront un panorama de méthodes et théories mathématiques en écologie et biologie évolutive, avec des cours spécialisés en réaction-diffusion, méthodes asymptotiques en EDP pour la biologie, les processus stochastiques (processus de branchement, théorie du coalescent, processus à valeur mesure), ainsi que des avancées récentes en phylodynamique et en épidémiologie appliquée.


Camille Coron (Université Paris-Saclay)    Mutation-selection equilibrium : Kingman’s house-of-cards model
Patrick Hoscheit (INRAe)     Phylodynamic analysis of epidemics: An introduction
Yuan Lou (Shanghai Jiao Tong University)    Principal eigenvalues for elliptic and parabolic operators with applications to biology
Sepideh Mirrahimi (CNRS, Université de Montpellier)  Evolutionary adaptation of quantitative traits; methods and applications in changing environments
Emmanuel Schertzer (University of Vienna)    Waves in population genetics
Daniel Weissman (Emory University)     Approximate analysis, with applications to population biology