Summary
Benjamin Priest is a computational scientist with a decade of experience building scalable algorithms and systems for analyzing massive data, currently applying his expertise at Lawrence Livermore National Laboratory. His research centers on streaming, sketching, and approximation algorithms for large graphs and distributed computation, and he has a strong publication record from his PhD work at Dartmouth onward. Ben specializes in extracting actionable signals from resource-constrained environments, translating theoretical methods into high-performance implementations used on real-world datasets. He brings hands-on experience across national labs and research institutions, including MIT Lincoln Laboratory, and a practical background that began with engineering roles in the U.S. Air Force. Based in San Jose, he combines deep algorithmic knowledge with production-minded engineering to tackle problems where memory and time are the primary constraints.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Thayer School of Engineering at Dartmouth
Bachelor of Science - BS, Bachelor of Science - BS at The Ohio State University