Summary
Meriel Von Stein is an information scientist and PhD-trained computer scientist with a decade of experience building and testing software for safety-critical systems, now applying that expertise at RAND. Her work focuses on testing, validation, and robustification of robotic systems that incorporate machine-learned components, bridging rigorous research with practical engineering. She brings a background in ground systems and launch-control automation from NASA and hands-on static analysis experience from cybersecurity research, giving her a rare blend of aerospace, security, and ML-safety skills. Meriel’s trajectory from art history and museum systems to advanced robotics research reflects strong interdisciplinary thinking and attention to data integrity and provenance. Based in Charlottesville, VA, she combines academic depth with production-oriented tooling and a track record of turning formal methods into usable validation pipelines.
9 years of coding experience
9 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Junior, Bachelor of Science - BS, Computer Science, Junior at Rowan University
Bachelor of Arts (B.A.), Art History, Criticism and Conservation, Bachelor of Arts (B.A.), Art History, Criticism and Conservation at Oberlin College
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Virginia
English, Spanish, French, Turkish