I’m a bioinformatician (computer scientist by training), interested in deciphering the mechanisms underlying complex biological systems (AKA “Systems Biology”). In particular, we want to turn mechanistic details into mathematical models which can be used to highlight their limitations (gaps and inconsistencies), and to guide experimental design.
My main contributions focus on handling “large” models in qualitative dynamical models (AKA logical models). I could work on complementary aspects:
- Formal methods for handling large models: model reduction and static analysis.
- Software implementation, especially GINsim.
- Applications to biological systems: cell cycle, Th differentiation.
Methods for handling large logical models
My main methodological contributions rely on the use of Multivalued Decision Diagrams (MDDs) to represent logical functions. By using MDDs, we could design an efficient method to find all possible stable states of a model, as well as to extract some information on the most important feedback circuits in a model. Later on, we proposed a reduction method, allowing to remove some components while preserving important dynamical properties. I was also involved in the definition of Hierarchical Transition Graphs, a novel compact representation of the dynamics, inspired by the graph of Strongly Connected Components.
Computational Methods in Systems Biology. Lecture Notes in Computer Science 4695:233—247
Theoretical Computer Science 412(21):2207—2218
I am the main developer of the GINsim software for the definition and analysis of logical models. This tool provides a graphical interface for model design and a number of analytical tools, including my formal works on logical models. It also provides import/export bridges to other software tools. GINsim has been used to study dozens of models, either through collaborations or by independent researchers.
Bio Systems 97(2):134—9
BMC Systems Biology 7(1):135
Logical models of biological systems
Qualitative models have been applied to a wide range of biological networks, I have been personnaly involved mainly in the study of cell cycle, and differentiation of T helper cells.
PLoS Computational Biology 6(9):e1000912
Genomics and metabolism
During my postdoctoral work in Lausanne (Switzerland), I was involved in the study of genomics data (microarray and ChIP-seq) in the context of metabolic processes.
PLoS Genetics 10(3):e1004155
Related publications are in preparation.