Hannah Jackson

Hannah Jackson is a PhD candidate in medical engineering and medical physics whose research is focused on improved treatment approaches for drug-resistant epilepsy using a recently developed implantable device to deliver micro-doses of drugs to small regions of the brain. Supported by her second MathWorks Fellowship, Hannah will continue to hone her novel device and improve its clinical translation. Her immediate objective is to optimize seizure detection algorithms to ensure compatibility across all EEG recording setups and to support the collaboration of researchers across institutions and experimental set-ups. She is also exploring the possibility of combining EEG monitoring with the drug delivery system to create a closed-loop system that can detect seizure activity and deliver drugs on an as-needed basis. To pursue this goal, Hannah will explore machine learning and AI techniques for pattern recognition. MATLAB and associated computational tools will continue to be indispensable assets in her work. Hannah’s research has great potential to expand our understanding of epilepsy, and to advance new treatment approaches that will improve patients’ lives.