Lei Cao
- Assistant Professor, Computer Science
- Member of the Graduate Faculty
- Assistant Professor, Statistics-GIDP
Contact
Biography
I am an Assistant Professor at the Computer Science department of University of Arizona. I also hold a research affiliation at MIT CSAIL where I spent several years as a Postdoc Associate and then a Research Scientist, actively collaborating with Prof. Samuel Madden, Prof. Michael Stonebraker, and Dr. Michael Cafarella. Before that I worked for IBM T.J. Watson Research Center as a Research Staff Member. I have conducted research in the broad areas of data systems and data science ranging from the low-level core database performance optimization to designing the high level, application specific machine learning techniques. My recent research falls in the emerging area of "Systems for AI and AI for Systems", focused on building data management and analytics tools that satisfy the SAUL properties: Scalable, Automatic, Human-in-the-loop.Degrees
- Ph.D. Computer Science
- Worcester Polytechnic Institute
Work Experience
- MIT (2021 - 2022)
- MIT (2017 - 2021)
- IBM T.J. Watson Research Center (2015 - 2016)
Interests
Research
Data management, Cloud databases, Data cleaning and integration, Anomaly Detection
Teaching
Databases, Data Systems
Courses
No activities entered.
Scholarly Contributions
Proceedings Publications
- Chen, Z., Gu, Z., Cao, L., Fan, J., Madden, S., & Tang, N. (2023). Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes. In CIDR.
- Chen, Z., Cao, L., & Madden, S. (2022). RoTaR: Efficient Row-Based Table Representation Learn- ing via Teacher-Student Training. In NeuIPS Workshop.
- Hofmann, D., Van Nostrand, P., Cao, L., Madden, S., & Rundensteiner, E. (2022). A Demonstration of AutoOD: A Self-Tuning Anomaly Detection System
. In PVLDB. - Tang, J., Zuo, Y., Cao, L., & Madden, S. (2022). Generic Entity Resolution Models,. In NeuIPS Workshop.
