Summary
Sasha Ames is a computational scientist with 12 years of experience designing scalable scientific data management systems, currently leading ESGF software development at Lawrence Livermore National Laboratory. She combines deep expertise in file system architecture, query and index design, and interfaces with hands-on skills in GUI and web development for large distributed data environments. Her research background includes novel indexing structures, lossy hierarchical-compression techniques and parallel workflows for massive metagenomic analysis, bridging theory and production at scale. Sasha’s career weaves academic rigor (MS/PhD work on searchable file systems) with applied engineering across national-lab projects and industry internships, giving her a practical bent on reproducible, searchable data platforms. Based in Berkeley, she’s known for turning complex information-retrieval problems into usable interfaces and performant backends, often focusing on the less-obvious cost/scale tradeoffs in index and compression design.
12 years of coding experience
14 years of employment as a software developer
BA, Computer Science, BA, Computer Science at Columbia University
University of California Santa Cruz
c++, python