I study the neural bases of aphasia after stroke or as a result of neurodegenerative diseases, with special interests in written language processing (reading and writing).
My work utilizes multiple neuroimaging modalities, including task-based and task-free functional MRI, diffusion tensor image (DTI). I also have experience in electrophysiology methods such as electroencephalogram (EEG) and magnetoencephalogram (MEG).
My research relies heavily on quantitative methods. My main research methods include network and graph-theory analysis, multivariate pattern and machine learning analysis, multiple regression (also see Publications). The most common programing tools I use are Python, R, and Matlab.
I often present my work in International conferences such as Society for the Neurobiology of Language (SNL), Cognitive Neuroscience Society (CNS), the Academy of Aphasia.