Nicholas Foti

Nick Foti

Principal Research Scientist | Apple

About

I am a Principal Research Scientist at Apple working on various aspects of machine learning and applications thereof.

Prior to Apple I was at the University of Washington from 2013 -- 2018 where I was first a postdoc and then a research scientist. I worked with Emily Fox and Adrian KC Lee on developing machine learning models of MEG data to understand dynamic brain connectivity underlying auditory attention. During my time at UW I also worked with a number of great students on projects related to Bayesian nonparametrics, variational inference and MCMC methods, time series analysis, optimization algorithms, and deep latent variable models.

I received my PhD from the Computer Science Department at Dartmouth College where I was advised by Dan Rockmore. I worked on Bayesian nonparametric models and inference algorithms for non-exchangeable data. I also worked on a number of applied projects on economics, law, and literature.

Publications