Matthew Holbrook is a Staff AI Scientist with nine years of experience applying imaging physics and deep learning to make diagnostic imaging faster, cheaper, and more accessible. At Siemens Healthineers he progressed from Senior to Staff AI Scientist, bringing research-grade methods into clinical-grade systems informed by a Duke PhD focused on spectral and photon-counting CT. His work spans hardware design, integrated acquisition/reconstruction pipelines, and deep learning corrections that dramatically reduced scan time and radiation in preclinical cardiac imaging while improving photon-counting resolution and material mapping. Comfortable bridging bench and product, he also has hands-on experience with Monte Carlo simulations and preclinical trials from earlier engineering roles. Based in New Jersey, he combines domain expertise in medical imaging with a practical engineering mindset aimed at scaling impact where radiology resources are scarce.
9 years of coding experience
12 years of employment as a software developer
The University of Utah
PhD Biomedical/Medical Engineering, PhD Biomedical/Medical Engineering at Duke University Pratt School of Engineering
Contributions:40 PRs, 42 pushes, 15 branches in 10 days
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