Luke Jaffe is a data scientist in the Global Security Computing Applications Division, where he applies computer vision to a variety of areas, including face recognition, adversarial machine learning, battery defect detection, and power grid infrastructure mapping. He began his time at LLNL as an intern in 2015, joined full-time in 2016, and completed his PhD through the Employee Tuition Assistance Program while continuing to work.

Ph.D. Electrical Engineering and Computer Science, University of California, Berkeley, CA, 2024

M.S. Electrical and Computer Engineering, Northeastern University, Boston, MA, 2016

B.S. Computer Engineering, Northeastern University, Boston, MA, 2016

L. Jaffe and A. Zakhor, “Swap Path Network for Robust Person Search Pre-Training,” presented at the Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025, pp. 9273–9283.

L. Jaffe and A. Zakhor, “Gallery Filter Network for Person Search,” presented at the Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023, pp. 1684–1693.

L. Jaffe, M. Zelinski, and W. Sakla, “Remote Sensor Design for Visual Recognition With Convolutional Neural Networks,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 9090–9108, Nov. 2019.