Name:	Lauren Nakhleh
Position:	Medical Student
Institution:	Baylor College of Medicine
My Work:	Worked on multiple projects including the first national COVID-19 survey of neurophysiology and epilepsy program directors, a collaborative study with the syndromic surveillance program on the effect of COVID-19 on acute neurology, and the use of machine learning in evaluating epilepsy. Projects presented at Henry J.N. Taub & James K. Alexander Medical Student Research Symposium 2021. 1. Nakhleh L, Gavvala JR, Haneef Z. Survey of Clinical Neurophysiology and Epilepsy Fellowship Programs in the United States During COVID-19. J Clin Neurophysiol. 2021. 2. Han A, Nakhleh L, Fussner S, Haneef Z. Differentiating Epileptic and Non-Epileptic Seizures using Machine Learning Analysis of EEG. (Under Review, Epilepsy & Behavior) 3. Nakhleh L, Haneef Z. Contributor to Case Files Neurology 4e. Case: Psychogenic Non-Epileptic Seizures. (In Press) 4. Han A, Nakhleh L, Fussner S, and Haneef Z. Machine Learning Algorithm for Differentiating Epileptic and Non-Epileptic Seizures. Poster presentation at Henry J.N. Taub & James K. Alexander Medical Student Research Symposium; 2021 March 25; Houston, TX. (Poster-3rd Place in Clinical Science Category) 5. Nakhleh L, Gavvala J and Haneef Z. COVID-19 Survey of Clinical Neurophysiology/ Epilepsy Program Directors and Fellow Trainees in The United States. Poster presentation at Henry J.N. Taub & James K. Alexander Medical Student Research Symposium; 2021 March 25; Houston, TX. (Poster)
Publications:	(1) Survey of Clinical Neurophysiology and Epilepsy Fellowship Programs in the United States During COVID-19 PMID 34347670