2015 WRF and Moore/Sloan Postdoctoral Fellow
Health Sciences, Statistics
Institute for Neuroengineering
Emily Fox, Statistics
Adrian K.C. Lee, Speech & Hearing Sciences
Ph.D., Computer Science, Dartmouth College, 2013
B.S., Computer Science and Mathematics, Tufts University, 2007
Nick Foti’s research focuses on the development of Bayesian nonparametric statistical methods applied to machine learning. In particular, he develops models and scalable inference algorithms applicable to data arising from various dynamic complex phenomena including finance, genomics, and neuroscience, among others.
As a joint UWIN and eScience WRF Postdoctoral Fellow, he will develop statistical models to learn the effective connections between the auditory sensory areas of the brain and the attentional network from high-dimensional time series of magnetoencepholography (MEG) recordings.