Summary
Zhu Jiayin is a Ph.D. candidate at the National University of Singapore’s CVML group with eight years of research and engineering experience spanning deep learning, geospatial analysis, and storage systems. Their work ranges from building and validating DL models for urban green-space exposure studies at UC Irvine to investigating consistency guarantees in object storage during a research internship at Tsinghua, reflecting a blend of applied ML and systems thinking. A high-achieving scholar (Master of Computing with a 4.77/5.0) who thrives on continuous learning, they have progressed from internships to a current doctoral role while publishing and contributing to multidisciplinary projects. Based in Singapore, Zhu brings a practical research mindset that connects rigorous formal analysis with real-world visualization and validation, often bridging domain knowledge across urban science and infrastructure.
8 years of coding experience
Bachelor's degree, Information Management and Information System, 90.5/100, Bachelor's degree, Information Management and Information System, 90.5/100 at Beijing Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at National University of Singapore