Luis Rocha's lab, the Complex Adaptive Systems and Computational Intelligence (CASCI) research group at Binghamton University (SUNY) and the Instituto Gulbenkian de Ciencia, works on complex systems and network science. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt, learn, 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 nature to produce adaptive intelligent systems. This theoretical and applied research agenda focuses on tackling multi-level complexity involved in human health, and is organized in three main threads: complex networks & systems, computational and systems biology, and computational intelligence.

This GitHub organization hosts several open source projects developed in our lab that we and others have used to tackle problems in these research areas. If you are interested in contributing, please reach out!

For more information, please visit our website.