Background

Emily Herron is a postdoctoral research associate in the Analytics & AI Methods at Scale Group of the Advanced Technologies Section at Oak Ridge National Laboratory. She received a Ph.D. in Data Science and Engineering from the University of Tennessee, Knoxville in Fall 2023. Her dissertation research involved developing stable, high-performing, generalized differentiable neural architecture search methods, and her Ph.D. advisor was Dr. Steven Young. While completing her Ph.D., Herron served as a Bredesen Center Fellow and Graduate Research Assistant in the Computing and Computational Science Directorate’s Learning Systems group, in which she contributed to research on evolutionary algorithms, neural network ensembles, text mining, and NLP models and co-authored a successful proposal for 20,000 Summit hours awarded by the Oak Ridge Leadership Computing Facility’s Director’s Discretionary Program. Herron is a member of ACM and IEEE and has served as a reviewer for the International Conference on Machine Learning (ICML) and as a peer mentor. She also has a B.S. in Computational Science from Mercer University.