Summary
Yazhuo Zhang is a postdoctoral researcher based in Zurich with 11 years of experience focused on storage systems, cloud infrastructure, and data-center applications. He combines rigorous academic training (PhD in Systems Science and Theory from Emory) with industry collaborations at Twitter and a performance engineering internship at Akamai to bridge theory and production. His work centers on creating meaningful abstractions for complex distributed system behavior and applying data-driven optimization to improve large-scale efficiency. Comfortable moving between measurement, modeling, and systems design, he targets practical improvements that scale across cloud deployments. At ETH Zürich he continues to translate research insights into actionable system-level optimizations, bringing both experimental rigor and deployment-minded engineering to performance challenges. He often emphasizes interpretable abstractions as a path to faster, more predictable system improvements—an approach that helps tame complexity beyond raw measurement alone.
11 years of coding experience
Doctor of Philosophy - PhD, Systems Science and Theory, Doctor of Philosophy - PhD, Systems Science and Theory at Emory University
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at South China University of Technology