Paul Yushkevich is an Associate Professor and computational scientist with 14 years of experience applying software development to medical imaging and neuroscience research at the University of Pennsylvania School of Medicine. Trained with a Ph.D. in Computer Science from UNC Chapel Hill, he blends rigorous academic methods with practical engineering, translating complex imaging problems into reproducible software and analysis pipelines. His career spans academia and industry, including early engineering experience at IBM, giving him a disciplined, systems-oriented approach to research software. Based in Philadelphia, he is known for bridging methodological innovation and usable tools that enable clinical and cognitive neuroscience studies, often focusing on reproducibility and robustness rather than flashy algorithms.
14 years of coding experience
2 years of employment as a software developer
Ph.D., Computer Science, Ph.D., Computer Science at The University of North Carolina at Chapel Hill
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