What do we do?
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.
We are currently developing a novel method for sequence motifs extraction based on decision-trees and language algebra. We are also working on a numerical model for epithelium growth and dynamics, tissue model and morphogenesis (Sinergia Project), thrombosis and thrombolysis (H2020 project INSIST). We also contribute to CompBioMed H2020 Centre of Excellence in computational bio-medicine.
Main publications 2017
- Merzouki A et al. Influence of cell mechanics and proliferation on the buckiling of simulated tissues using a vertex model. NACO, 2017
- Li S et al. Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysm. International Journal for Numerical Methods in Biomedical Engineering. 2017
- Dutta R et al. Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing. Frontiers in Physiology, 'Advanced HPC-based Computational Modeling in biomechanics and Systems Biology', submitted, 2017