Mining Living Organisms: Inferring Biological Models from Wet-Lab Experiments (Daniel Lobo) 

Many living organisms have an extraordinary capacity to self-generate and self-repair complex patterns and shapes. To elucidate the mechanisms driving these poorly-understood processes, biologists are producing an extraordinary complex dataset of surgical and genetic experiments. In this talk, I will present our approach based on formal ontologies, evolutionary computation, and in silico simulators to automate the discovery of biological models from wet-lab experiments, which will pave the way to revolutionary biomedical applications.