Summary
Joshua Lawrimore is a computational scientist with nine years of experience applying computer vision, deep learning, and advanced image analysis to cancer research and digital pathology. Currently at Frederick National Laboratory, he builds analytical tools that translate complex imaging data into actionable insights to improve patient outcomes. His background includes leading teams at Caris Life Sciences and UNC Chapel Hill where he developed GANs, automated fluorescent image analysis, and optimized simulation visualizations with orders-of-magnitude speedups. Joshua combines rigorous academic training (PhD in Genetics and Molecular Biology) with practical engineering—constructing C++/CUDA simulators, CI/CD pipelines, and MATLAB toolkits that have driven multiple publications and awards. Based in Rockville, MD, he’s known for bridging research and production, turning novel imaging methods into reproducible, high-throughput workflows.
9 years of coding experience