Accurately identifying epileptogenic regions of the brain is critical to the development of novel therapies for epilepsy. Typically, clinicians use invasive procedures to electrically stimulate the brain to find which regions are highly excitable. Dr. Rachel June Smith will build computational models to virtually stimulate the brain and identify regions of hyperexcitability. The models will be built from both invasive stimulation data and non-invasive magnetoencephalography (MEG) data. The project would be impactful for people with epilepsy as it aims to reduce/eliminate the need for invasive monitoring and reduce time spent in the hospital to undergo monitoring.