Summary
Elaine Ang is a research-focused software engineer with 11 years of experience building large-scale systems and tooling, currently splitting time between Columbia University (PhD candidate) and Alibaba’s Tongyi Lab where she works on agent context management. She spent five formative years at Google contributing to Spanner’s storage layer and production data pipelines, honing expertise in distributed storage, benchmarking, and high-throughput systems. Elaine’s background spans academia and industry—from TA and grader roles to shipping production services—giving her a practiced ability to translate research ideas into reliable, deployable software. Her current research sits at the intersection of LLM agents and database systems, reflecting a rare blend of ML-driven agent design with deep systems knowledge. Based in New York, she pairs rigorous CS training (MS UIUC, BS NYU Shanghai) with a knack for performance optimization and reproducible engineering. Colleagues describe her as someone who moves smoothly between low-level system trade-offs and higher-level agent architectures, enabling practical advances in LLM-enabled data systems.
10 years of coding experience
6 years of employment as a software developer
Study Away Program, Computer Science, Study Away Program, Computer Science at New York University
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at New York University Shanghai
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Columbia University
University of Illinois Urbana-Champaign
Chinese, English