Author's posts

(Français) Gestion des appels d’urgence : une géométrie tropicale pour les secours parisiens

Sorry, this entry is only available in French.

Dirk Drasdo at the EASL 2018 congress  

12-13 October 2017: evaluation of Mamba

On October 12-13, Mamba has been evaluated, together with the eight other Inria project-teams of the domain “Modeling and Control for Life Sciences”: BIOCORE, CARMEN, DRACULA, M3DISIM, MYCENAE, NUMED, REO and SISTM, and the new team MONC . Here you can find the general presentation of the team: Mamba presentation – 2014 to 2017 and you may download …

Continue reading

Workshop “Protein Aggregation: Biophysics and Mathematics”

From June 6th to June 8th, 2017, a workshop on Protein Aggregation: Biophysics and Mathematics” is held at the University of Vienna, Austria.   This workshop focuses on protein aggregation in various fields of application like amyloid diseases, actin filaments, autophagy.  The aim of this meeting is to bring together expert and young researchers in these …

Continue reading

10 years of the European Research Council, 50 years of Inria

For the 50th birthday of Inria, the 10 years of the European Research Council and the almost 50 ERC grants obtained by Inria researchers, Marie Doumic – along with 9 other researchers – explains in a (french!) few words what her project deals about.

Noémie Boissier: Simuler l’organisation des tissus sur des échelles histologiques

(Français) Conférence grand public sur Alzheimer

Au coeur d’Alzheimer, comment les protéines s’agrègent-elles? Conférence “Science et Société”, vidéo disponible ici Conférencière : Marie Doumic, Ingénieure en Chef des Ponts, Responsable de l’équipe MAMBA, INRIA Paris-Rocquencourt, Laboratoire Jacques Louis-Lions, Université Paris 6 A l’origine de nombreuses maladies neuro-dégénératives, comme Alzheimer, Parkinson, ou encore la maladie de la vache folle, on retrouve un mécanisme identique : l’agrégation anormale de …

Continue reading

Evolution of cancer cell populations

Cancer cell populations, and more generally, populations of cells in proliferation, can be considered as populations of living organisms subject to the laws of evolution, firstly because every mitosis is a chance of mutation, and also because, even without mutations, the genetic memory carried in the DNA can make cells able to unmask, in the presence of …

Continue reading


The dynamics of complex physical or biophysical phenomena involving many agents, including proteins or cells – which can be seen as active agents – can be represented efficiently either by explicitly considering the behaviour of each particle individually (e.g. through branching trees and piecewise deterministic Markov processes – PDMPs -, or stochastic differential equations) or …

Continue reading

Load more