Lei Cao
Scholar

Lei Cao

Google Scholar ID: xiSS1ZIAAAAJ
Assistant Professor, University of Arizona/Research Scientist, MIT CSAIL
DatabasesMachine learning
Citations & Impact
All-time
Citations
1,668
 
H-index
24
 
i10-index
46
 
Publications
20
 
Co-authors
25
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted by top conferences such as NeuIPS 2025, VLDB 2025, SIGMOD 2026, ICLR 2025. Received the Amazon Research Award (Fall 2023).
Research Experience
  • Currently an Assistant Professor in the Computer Science department at the University of Arizona, with a research affiliation at MIT CSAIL. Research spans from low-level core database performance optimization to high-level, application-specific machine learning techniques. Recent research focuses on building data management and analytics tools that satisfy the SAUL properties: Scalable, Automatic, Human-in-the-loop.
Education
  • Held a postdoc associate and research scientist position at MIT CSAIL, collaborating with Prof. Samuel Madden, Prof. Michael Stonebraker, Prof. Tim Kraska, and Dr. Michael Cafarella. Previously, worked as a Research Staff Member at IBM T.J. Watson Research Center.
Background
  • Research interests include end-to-end optimization of agentic workflows, anomaly detection algorithms and systems, AI (LLM) for data management, distributed/cloud databases, and data lakes.
Miscellany
  • Welcomes research interns to join the team to build the next generation of AI-powered data systems.