The lab is particularly interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. This means both understanding how information is fundamental for controlling the behavior and evolutionary capabilities of complex systems, as well as abstracting principles from natural systems to produce adaptive information technology.
This theoretical and applied research agenda is organized in three main threads:
- Complex networks & systems,
- Computational & Systems Biology, and
- Computational Intelligence.
Please also check the research group on Complex Adaptive Systems and Computational Intelligence (CASCI), for more details about our research and how to collaborate and study with us. The research group is also committed to interdisciplinary research, teaching and graduate training.