I am a postdoctoral researcher in the Department of Computing and Software at McMaster University, working on computational approaches to understanding how the brain processes speech. My current research focuses on using neuro-current response functions (NCRFs) to investigate cortical representations of speech and other complex auditory stimuli using magnetoencephalography (MEG). I am particularly interested in developing computational methods and open-source tools for analyzing neural responses to naturalistic stimuli and understanding how different levels of auditory information are represented in the brain.
My background is in electrical and computer engineering and auditory neuroscience. During my graduate studies at Auditory Engineering Lab (McMaster University), I investigated neural mechanisms of auditory processing in the brainstem using biophysically detailed computational models of the cochlear nucleus. In particular, my research examined how neuronal connectivity, inhibition, and intrinsic membrane properties shape the temporal coding and synchronization of auditory nerve inputs. Broadly, I am interested in understanding how auditory information is transformed across different stages of the auditory pathway, combining computational neuroscience, neural signal processing, and neural networks.