My research program currently leverages neuroimaging to enhance speech processing across a range of applications. Specifically, I am developing advanced machine learning algorithms capable of identifying the attended speaker from electroencephalography (EEG) data. A few of my doctoral students are leading efforts in both data collection and algorithm development. We are also working on creating sophisticated foundation models from EEG data to improve algorithmic generalization across subjects and tasks. In the future, we aim to incorporate additional neuroimaging techniques to further support these objectives.