Professor Rob Kass’ research applies statistical methods to all aspects of neuroscience, including neural spike train data, MEG, fMRI and diffusion imaging techniques, to better understand how neural signals change under varying circumstances. A thorough understanding of neural network dynamics will be essential in developing targeted therapies for brain-related illnesses.

Research Interests: brain sciences; data analysis; neural engineering; neuroscience