Dixin Tang

Dixin Tang is an Assistant Professor at the University of Texas at Austin Department of Computer Science. He previously served as a postdoc scholar at UC Berkeley under Prof. Aditya Parameswaran and earned his Ph.D. from the University of Chicago CS department under Prof. Aaron Elmore.

• Current research focuses on vector databases, large-scale unstructured data analysis, and data systems leveraging CXL memory technology.
• Key contributions include systems like Tigon (distributed CXL pod databases) and Pasha (scalable CXL pod architecture).

His work emphasizes user-centered data systems, with projects like FormS (spreadsheet-to-SQL translation), Smash (string distance metrics), and Lux (visualization recommendations) demonstrating cross-decade innovation.

Recent publications (2025) highlight trends in:

• CXL memory-optimized data architectures
• Homomorphism-based query frameworks
• Scalable unstructured data processing

Scientific recognition includes:

• VLDB 2023 Best of Special Issue
• ICDE 2021 Short Paper Award

Teaching roles include:

• CS 395T: Database Systems and LLMs (Fall 2025)
• CS 347: Data Management (Fall 2024)
• CS 395T: Advanced Query Optimizations (Spring 2024)

Affiliated with the UT Data Systems research group, collaborating with Profs. Witchel and Chidambaram on CXL memory projects.