About Me

I am a PhD student in the Electrical and Computer Engineering department at Johns Hopkins University. My research applies machine learning and signal processing to develop algorithms to assist in clinical epilepsy monitoring and diagnosis. Specifically, my work tracks the onset and spread of seizure activity in long term clinical EEG recordings using novel models of the underlying neurological phenomena.

I received my M.S. in Electrical Engineering from Boston University in 2015. Prior to that, I earned a B.S. and B.A. from Virginia Tech in Aerospace Engineering and English Literature, respectively, in 2011. Intrigued by the unique set of technical challenges and motivated by potential improvements in patient care, I plan to continue working in engineering for healthcare applications after completing my PhD.