Nick Foti works in collaboration with Emily Fox in Statistics and Adrian KC Lee in Speech and Hearing Sciences. Nick’s research interests are in developing machine learning methods that can be applied to phenomena exhibiting complex dependencies. His work at the UW focuses on uncovering the effective connections between the auditory sensory areas of the brain and the attentional network. To do this, he works with extremely noisy time series data arising from magnetoencepholography (MEG) recordings. This work has implications for both neuroscience research and for developing smart hearing aid technology. Nick holds a doctoral degree in Computer Science from Dartmouth College and a bachelor’s degree in Computer Science and Mathematics from Tufts University.
He is a currently a Washington Research Foundation Innovation Postdoctoral Fellow at the UW Institute for Neuroengineering.