Brandon Gallas is a mathematician and imaging physicist with over a decade of experience applying statistical and computational modeling to the evaluation of medical imaging devices at the FDA. He specializes in image quality, computer-aided diagnosis, imaging physics, and the design and statistical analysis of reader studies, and he maintains widely used open-source tools for multi-reader multi-case analysis (iMRMC). His recent work investigates pathologist performance and agreement using whole slide imaging and glass-slide registration, supported by reproducible evaluation environments published on GitHub. As a participant in the Pathology Innovation Collaborative Community, he helps shape regulatory science and standards to accelerate safe digital pathology adoption. Trained with a PhD in Applied Mathematics from the University of Arizona, he blends deep theoretical grounding with practical, regulatory-focused impact. An understated strength is his ability to translate complex statistical methods into usable software and study protocols that directly inform device assessment and policy.
12 years of coding experience
The University of Arizona
BA, Mathematics, BA, Mathematics at Truman State University
Contributions:1 release, 20 commits, 1 PR in 1 year
high-throughputthroughput
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