Supawit Chockchowwat is an Assistant Professor at CMKL University. Previously, he was a Visiting Faculty Researcher at Google, where he conducted research on database efficiency at scale and emerging data systems. His research interests lie at the intersection of database management systems, data mining, probabilistic algorithms, machine learning, and distributed systems.
He received his Ph.D. from the University of Illinois Urbana-Champaign (UIUC) in 2025 and his B.S. from the University of Texas at Austin in 2020.
Ph.D., Computer Science, University of Illinois Urbana-Champaign, USA
B.S., Turing Scholars Honors in Computer Science, University of Texas at Austin, USA
Database Efficiency and Tuning
Data Systems for Modern AI Workflows
Version Control and Data Provenance
Interactive Data Analytics
S. Chockchowwat, W. Liu, and Y. Park, "AirIndex: Versatile Index Tuning Through Data and Storage," PACMMOD, vol. 1, no. 3, art. 226, 2023.
Z. Li, S. Chockchowwat et al., "Kishu: Time-Traveling for Computational Notebooks," VLDB Endowment, vol. 18, no. 4, pp. 970–985, 2024.
H. Fang, S. Chockchowwat et al., "Enhancing Computational Notebooks with Code+Data Space Versioning," in Proc. CHI '25, Yokohama, 2025.
N. Sheoran, S. Chockchowwat et al., "A Step Toward Deep Online Aggregation," PACMMOD, vol. 1, no. 2, art. 124, 2023.
C. C. Tutum, S. Chockchowwat et al., "Functional generative design: an evolutionary approach to 3D-printing," in Proc. GECCO '18, Kyoto, 2018, pp. 1379–1386.