Mathematical Methods for the Study of Self-organization in the Biological Sciences

Erwin Schrödinger Institute, Vienna
November 14 - December 9, 2022
 

SCHOOL: 14-18 November 2022

The study of self-organisation demands a broad spectrum of mathematical tools, as well as, modelling and the capacity to work in inter-disciplinary groups that include biologists. Therefore, researchers must be multi-talented, as well as being able to work with researchers in complementary mathematical disciplines. The school will consists of four courses of four hours each given by mathematicians and around nine seminars given by researchers in the biological/applied sciences.

Confirmed seminar speakers

  • Sascha Martens (Max Perutz Lab, University of Vienna, Austria) - Mechanisms of Cargo Selection and Autophagosome Biogenesis in Selective Autophagy
  • Rubén Peréz Carrasco (Imperial College London, UK) - Effects of cell cycle variability on stochastic gene expression in a population of cells
  • Maria Romanova-Michaelides (University of Geneva, Switzerland) - Mechanism of Morphogen Gradient Scaling.
  • Diana Pinheiro (Vienna Biocenter, University of Vienna, Austria) - Morphogen gradient orchestrates pattern-preserving tissue morphogenesis via motility-driven unjamming
  • Timothy Saunders (University of Warwick, UK) - Cell shape changes during tissue morphogenesis
  • Kees Weijer (University of Dundee, UK) - Analysis and perturbation of cell behaviours controlling gastrulation in the chick embryo

Confirmed courses lecturers

  • Francis Filbet (University Paul Sabatier, France) - About kinetic theory for the study of self-organization in the biological science
  • Amic Frouvelle (University Paris Dauphine, France) - Alignment of self-propelled particles : from microscopic to hydrodynamic models.
  • Luigi Preziosi (Politecnico di Torino, Italy) - Modelling Cell Motility and the Physical Limits of Migration
  • Amandine Véber (University Paris Cité, France) - Stochastic models of evolution in a population living in a continuum
Booklet with titles, abstract and schedule

Resources

Lecture notes and slides fo the courses can be found on the webpage of the Erwin Schrödinger Institute here