Amzi Jeffs
Data Scientist
Amzi Jeffs
Data Scientist
Biography
Dr. Amzi Jeffs joined PNNL in 2025 as a postdoctoral research associate and was promoted in 2026 to data scientist. His work in computational geophysics includes applying artificial intelligence/machine learning and scientific computing workflows to geophysical inversion and anomaly detection, in support of energy infrastructure undergrounding and other subsurface initiatives.
Prior to PNNL, Dr. Jeffs was a National Science Foundation postdoctoral fellow at Carnegie Mellon University, authoring papers in discrete geometry and combinatorics.
Research Interests
- Deep learning
- Geophysics
- Artificial Intelligence
- Machine Learning
Disciplines and Skills
- AI Systems
- Computer Vision
- Data Science
- Deep Learning
- Machine Learning
- Machine Learning Algorithms
- Mathematics
- Python
- Scientific Computing
Education
- PhD, mathematics, University of Washington
- BA, mathematics, Harvey Mudd College