Fred Hutchinson Cancer Research Center, USA
Steve's research focuses on the mechanisms by which biological functions arise from elementary physical processes. To this end, he has developed computational methods for simulating diffusion, chemical reactions, and surface interactions of individual proteins; these methods account for stochastic details and are accurate down to nanometer size scales. They are implemented in the Smoldyn simulation software, which is being used by many research groups. Using both spatial and non-spatial simulation methods, Steve is also investigating the implications of stochasticity in cell signaling.
Saarland University, Germany
The work of Karsten’s team is focused on self-organization and formation of patterns in cells, with an emphasis on the cytoskeleton. Using the concepts from non-linear dynamics and statistical mechanics, Karsten develops theoretical approaches ranging from stochastic simulations to mean-field descriptions and hydrodynamic theories.
EMBL Heidelberg, Germany
Francois has 20 years of experience in modeling various biological systems, with an emphasis on the cytoskeleton and the assembly of the mitotic spindle. He has developed with his group the simulation engine Cytosim, which implements the Brownian dynamics method for very large systems of flexible filaments (microtubules/actin) and their associated proteins, such as molecular motors or cross-linkers. Cytosim is a powerful and versatile software, which is readily applicable to a great variety of problems in 2D or 3D.
Rhoda J. Hawkins, University of Sheffield, United Kingdom
Jens Elgeti, Forschungszentrum Jülich, Germany
Dagmar Iber, ETH Zurich, Switzerland
Martin Lenz, University Paris XI, France
Alex Mogilner, New York University, USA