In the Scientific and Parallel Computing (SPC) Group, we develop new algorithms and methods to better understand and/or predict various phenomena in biology. We focus on multiscale modelling and computing, high-performance computing, cellular automata, lattice Botzmann methods, multi-agent systems, and optimizing techniques and machine learning. A core activity of our group is the modelling and simulation of complex systems. In bioinformatics, the objective is to develop advanced numerical methodologies to model biological processes.
Domain(s) of application
Basic research
Medicine and health
Domain of activity
Structural biology