Kalie Knecht, applied data scientist and R&D associate at Oak Ridge National Laboratory, is photographed in a portrait in 2026. Knect applies advanced data analytics and computational methods to accelerate scientific discovery and support innovative solutions that strengthen U.S. competitiveness and national priorities.

Kalie R. Knecht

Applied Data Scientist

Kalie Knecht, Ph.D., is an Applied Data Scientist in the Advanced Detection and Applied Data Science group at Oak Ridge National Laboratory. She holds a bachelor’s degree in Nuclear Engineering from the University of Tennessee and a Ph.D. in Nuclear Engineering from the University of California, Berkeley.

Her work centers on applying machine learning and autonomous systems to radiation detection and nuclear nonproliferation challenges. She develops AI-enabled methods for radiation source identification, anomaly detection, and robotic search, integrating spectroscopy, computer vision, and environmental mapping to advance next-generation detection technologies.