James Herring is a research scientist with eight years of experience developing robust computational methods for high-dimensional imaging problems, currently applying PDE-constrained optimization to image registration and shape matching at Slingshot Aerospace. He has a PhD in Applied Mathematics from Emory and a track record of translating advanced numerical analysis into software, including a projection-based Gauss–Newton solver for coupled-variable inverse problems used in super-resolution, MRI motion correction, and rigid-constrained registration. Past work spans medical and astronomical imaging—such as efficient phase-recovery schemes for bispectral imaging—and high-performance GPU-enabled eigensolvers developed at Lawrence Livermore. Comfortable bridging theory and implementation, he combines optimize-discretize analysis with practical coding for HPC and domain-specific imaging challenges.
7 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, 3.9/4.0, Doctor of Philosophy (Ph.D.), Applied Mathematics, 3.9/4.0 at Emory University
Study Abroad, Study Abroad at 연세대학교 / Yonsei University
Contributions:26 commits, 1 PR, 25 pushes in 1 month
lapmatlabmatlab-codes
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James Herring - Research Scientist at Slingshot Aerospace