Our focus in systems biology is on modeling metabolic and early toxicity pathways (metabolic interactions, secondary metabolism control, endocrine perturbation. Such pathways are directly relevant to target and off-target effects of therapeutic drugs and general chemicals and our goal is to support quantitative in vitro to in vivo extrapolation (QIVIVE). So far we have concentrated on differential equation systems, easy to couple with whole body (PBPK) pharmacokinetic models.
We are also working, in collaboration with UTC LMAC lab, on Bayesian inference on graphs (with application to network structure inference) (project Prior-Motives).
Statistical inference on networks can produce some surprisingly nice results...