Summary
Ruisi Zhang is a PhD candidate in Machine Learning and Data Science at UC San Diego with seven years of experience blending research rigor and engineering practice. Trained in Electronic Engineering at Shanghai Jiao Tong University, he focuses on designing efficient, robust, and secure algorithms and systems for generative large language models. He brings a systems-minded approach to ML research, aiming to bridge model advances with practical deployment concerns such as efficiency and security. Based in San Diego, he maintains an active academic and engineering profile, publishing and developing work that targets real-world robustness challenges. Outside publications, his personal webpage documents projects and tools that reflect a preference for production-ready, auditable solutions rather than purely theoretical work.
7 years of coding experience
University of California, San Diego
Bachelor of Engineering - BE, Bachelor of Engineering - BE at Shanghai Jiao Tong University