His current research portfolio brings together speech, brain imaging, and informatics to address gaps in scientific knowledge from three perspectives: speech and clinical applications (understanding speech mechanisms and applying speech technology to healthcare), machine learning for personalized medicine (integrating imaging, genetic, and behavioral data using machine learning algorithms for clinical diagnosis and treatment prediction), and neuroinformatics and reproducible research (establishing standards for organizing scientific information and creating performant tools to address the data deluge and reproducibility).