PNNL

Jenna Pope is a data scientist in the National Security Directorate at Pacific Northwest National Laboratory. Her research focuses on the application of data science and deep learning to chemistry and materials science. Her projects are highly interdisciplinary and involve close collaboration with both experimentalists and modelers/theoreticians. She is a member of the American Chemical Society and serves on review panels for the National Science Foundation. She received a BS in chemistry from the University of West Florida and a PhD in computational chemistry from the University of Georgia. She publishes under the name Jenna A. Bilbrey.

• Chemistry
• Computational Chemistry
• Data Science
• Deep Learning
• Few-shot Learning
• Materials Science
• Machine Learning
• Neural Networks

• PhD in Computational Chemistry, University of Georgia
• BS in Chemistry, University of West Florida

• National Science Foundation reviewer
• American Chemical Society member

• Exceptional Contribution Award, Pacific Northwest National Laboratory, 2021
• Outstanding Performance Award, Pacific Northwest National Laboratory, 2020