At CIBiL, Dr. Smolinski and his "CIBiLings" apply various computational intelligence methods (e.g., evolutionary algorithms, artificial neural networks, rough sets, fuzzy logic, etc.) to solve complex problems in the broadly defined field of biological sciences, with the use of parallel and high performance computing techniques. The projects at CIBiL range from exploration and visualization of large parameter spaces of neuronal models, through assembly and analysis of plant transcriptomes, to annotation of amino-acid sequences for protein function prediction.