معرفی
Kai Li is the Paul M. Wythes and Marcia R. Wythes Professor in Computer Science at Princeton University, where he has been since earning his Ph.D. from Yale University in 1986. His research spans computational systems, machine learning, and neuroscience, with notable contributions to privacy-preserving ML, data auditing, and connectomics. He co-founded Data Domain Inc. in 2001, pioneering deduplication storage systems before its 2009 acquisition by EMC Corp.
Education: Ph.D. in Computer Science, Yale University (1986).
Research focuses on integrating machine learning with systems engineering, computational neuroscience, and proteomics. Key areas include ML-driven data efficiency, neural circuit mapping, and cancer biomarker discovery using patient-derived xenografts. His work bridges computational methods with biological and medical applications, emphasizing cross-disciplinary innovation.
Recent publications highlight advancements in connectome analysis (e.g., mouse visual cortex circuitry), computational proteomics, and privacy-preserving AI systems. His 2025 election to the American Academy of Arts and Sciences underscores recognition for contributions to computer architecture and distributed systems.
- Awards: ACM SIGOPS Hall of Fame Award (2012), Fellowships from ACM and IEEE, membership in multiple national academies.
- Labs/Teams: Leads research groups in computational neuroscience, proteogenomics, and systems engineering at Princeton’s School of Engineering and Applied Science.
