Doctoral student chosen for National Library of Medicine Fellowship

Emily Wang's research focuses on Bayesian hidden Markov models for assessing seizure risk in patients with epilepsy.

Emily Wang

Emily Wang, a third-year doctoral student in statistics (STAT), has been chosen for a National Library of Medicine (NLM) Fellowship in Biomedical Informatics through Rice University’s NLM Training Program in Biomedical Informatics and Data Science.

Her research focuses on Bayesian hidden Markov models for assessing seizure risk in patients with epilepsy. Her advisers are Marina Vannucci, the Noah Harding Professor of Statistics, and Dr. Zulfi Haneef, assistant professor in neurology at Baylor College of Medicine.

Wang earned bachelor’s degrees in computational and applied mathematics, business, economics and management from the California Institute of Technology in 2017.

The Gulf Coast Consortia and its training arm, the Keck Center, manage the program, which includes faculty from Rice, Baylor College of Medicine, University of Houston, the University of Texas Health Science Center at Houston, MD Anderson Cancer Center and the University of Texas Medical Branch at Galveston. The NLM training program is the largest of five competitively funded training programs overseen by the Keck Center.