Summary
David Vanmaanen is an Information Technology specialist with 11 years of experience building and automating reliable data and medical imaging pipelines for research and clinical environments. Currently a Data Analyst in translational data science, he combines deep Linux, Python, Docker, and CI expertise with hands-on system administration of tools like GitLab and DCM4CHEE to deliver reproducible imaging workflows. He has a strong research background in neural computation from Carnegie Mellon and practical experience integrating high-performance simulations and cluster computing into production pipelines. Comfortable bridging IT, developers, and scientists, he focuses on automation that reduces operational friction and ensures compliance in healthcare settings. Colleagues rely on him for pragmatic solutions that turn complex imaging data into accessible, deployable assets for machine learning projects.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Penn State University
Master of Science (M.S.), Neural Compuation, Master of Science (M.S.), Neural Compuation at Carnegie Mellon University