Computational Biology and Bioinformatics Centers & Labs

Focuses on both machine and biological learning including reinforcement learning, safe machine learning, and biologically inspired machine learning.

Does research in robotics to continually make robots more autonomous, accurate, robust, and efficient, in real-world unstructured environments.

Aims to apply techniques developed in computer science to problems in biology and neuroscience

Conducts research on information retrieval, machine learning, and natural language processing with a focus on biomedical applications.

Focuses on rigidity, flexibility, and motion for constrained structures like linkages or frameworks in mechanics or robotics.

Aims to build and apply computational methods to understand genetic variation.